CN107657161A - Mobile payment method and related products based on face recognition - Google Patents

Abstract

The embodiment of the present invention discloses a mobile payment method based on face recognition and related products. The method includes: a mobile terminal detects that a current payment event of the mobile terminal meets a preset payment condition, and determines that the payment event is a high-security level payment event; obtains a pre-stored high-security level face recognition strategy corresponding to the high-security level payment event, wherein the high-security level face recognition strategy includes multiple processing steps, and at least one parameter value associated with at least one of the multiple processing steps meets a preset condition; when the current user is identified as a legitimate user according to the high-security level face recognition strategy, the payment event is processed. The embodiment of the present invention is conducive to improving the security and reliability of face recognition in payment scenarios.

Description

Mobile payment method and related products based on face recognition

technical field

The invention relates to the technical field of mobile terminals, in particular to a face recognition-based mobile payment method and related products.

Background technique

With the progress of society and the development of science, information interaction is becoming more and more frequent. In order to ensure the security of information, user identity needs to be verified. Therefore, biometrics are often used, such as: fingerprint recognition, face recognition, iris recognition , vein recognition, palmprint recognition and other biometric technologies.

At present, there are more and more online shopping users, and mobile payment provides great convenience for users to shop online. Usually, digital passwords, digital and letter combination passwords, and fingerprint passwords are used as mobile payment passwords to improve the security of mobile payment.

Contents of the invention

Embodiments of the present invention provide a face recognition-based mobile payment method and related products, which can improve the security and reliability of face recognition in payment scenarios.

In the first aspect, an embodiment of the present invention provides a mobile terminal, including a processor, a face image acquisition device and a memory connected to the processor, wherein,

The above-mentioned human face image collection device is used for collecting human face images;

The above-mentioned memory is used to store preset facial templates;

The processor is configured to detect that the current payment event of the mobile terminal satisfies the preset payment condition, determine that the payment event is a high security level payment event; and obtain the prestored high security level face recognition strategy corresponding to the above high security level payment event , wherein the above-mentioned high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one of the above multiple processing steps satisfies a preset condition; and according to the above high security level face recognition strategy identified When the current user is a legitimate user, process the above payment event.

In the second aspect, the embodiment of the present invention provides a mobile payment method based on face recognition, including:

Detecting that the current payment event of the mobile terminal satisfies the preset payment condition, and determining that the above payment event is a high security level payment event;

Obtain the pre-stored high security level face recognition strategy corresponding to the above high security level payment event, wherein the above high security level face recognition strategy includes a plurality of processing steps, at least one parameter associated with at least one of the plurality of processing steps The value satisfies the preset condition;

When the current user is identified as a legitimate user according to the above-mentioned high security level face recognition policy, the above-mentioned payment event is processed.

In a third aspect, an embodiment of the present invention provides a mobile terminal, including a processing unit,

The above processing unit is configured to detect that the current payment event of the mobile terminal satisfies the preset payment condition, and determine that the above payment event is a high security level payment event;

The above-mentioned processing unit is also used to obtain the pre-stored high-security-level face recognition strategy corresponding to the above-mentioned high-security-level payment event, wherein the above-mentioned high-security-level face recognition strategy includes a plurality of processing steps, at least one of the above-mentioned multiple processing steps At least one parameter value associated with the processing step satisfies a preset condition;

The above-mentioned processing unit is further configured to process the above-mentioned payment event when the current user is recognized as a legitimate user according to the above-mentioned high security level face recognition policy.

In a fourth aspect, an embodiment of the present invention provides a mobile terminal, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured to be processed by the above The above program includes instructions for executing the steps in any method of the first aspect of the embodiments of the present invention.

In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables the computer to execute the computer program as described in the first embodiment of the present invention. In one aspect, for some or all of the steps described in any method, the above-mentioned computer includes a mobile terminal.

In a sixth aspect, an embodiment of the present invention provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute the computer program as implemented in the present invention. For example, some or all of the steps described in any method of the first aspect. The computer program product may be a software installation package, and the above-mentioned computer includes a mobile terminal.

It can be seen that in the embodiment of the present invention, the mobile terminal first detects that the current payment event of the mobile terminal satisfies the preset payment condition, determines that the above payment event is a high security level payment event, and secondly obtains the prestored high security level payment event corresponding The high security level face recognition strategy, wherein, the high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the plurality of processing steps satisfies a preset condition, and finally, according to the above When the high security level face recognition policy recognizes that the current user is a legitimate user, the above payment event will be processed. It is conducive to improving the security and reliability of face recognition in payment scenarios.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present invention;

Fig. 2 is a schematic flow diagram of a face recognition-based mobile payment method provided by an embodiment of the present invention;

Fig. 3 is a schematic flowchart of a face recognition-based mobile payment method provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a mobile terminal disclosed by an embodiment of the invention;

Fig. 5 is a block diagram of functional units of a mobile terminal disclosed in an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

The terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

The mobile terminals involved in the embodiments of the present invention may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of user equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal device) and so on. For convenience of description, the devices mentioned above are collectively referred to as mobile terminals.

The mobile terminal described in the embodiment of the present invention is provided with a biological image acquisition device, and the biological image acquisition device specifically includes a fingerprint image acquisition device, an iris image acquisition device and a face image acquisition device, wherein the fingerprint image acquisition device may be a fingerprint sensor module Group, the iris image acquisition device can include an infrared light source and an iris camera, and the face image acquisition device can be a general camera module, such as a front camera. Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

Please refer to FIG. 1. FIG. 1 is a schematic structural diagram of a mobile terminal 100 provided by an embodiment of the present invention. The above-mentioned mobile terminal 100 includes: a housing, a touch display screen, a main board, a battery and a sub-board, and an infrared light source is arranged on the main board. 21. Iris camera 22, front camera 23, processor 110, memory 120, SIM card slot, etc., the sub-board is provided with a vibrator, integrated sound cavity, VOOC flash charging interface and fingerprint module 24, the above-mentioned infrared light source 21 and iris The camera 22 forms the iris image acquisition device of the mobile terminal 100, the above-mentioned front camera 23 forms the face image acquisition device of the mobile terminal 100, the fingerprint sensor module 24 forms the fingerprint image acquisition device of the mobile terminal 100, and the iris image The collection device, the face image collection device and the fingerprint image collection device are collectively referred to as the biological image collection device of the mobile terminal 100, wherein, when performing face recognition, the face image collection device can be used to obtain the face image of the current user.

The above-mentioned human face image collection device is used for collecting human face images;

The above-mentioned memory is used to store preset facial templates;

The above-mentioned processor 110 is configured to detect that the current payment event of the mobile terminal satisfies the preset payment condition, determine that the above-mentioned payment event is a high-security-level payment event; strategy, wherein the above-mentioned high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one of the above multiple processing steps meets a preset condition; and according to the above high security level face recognition strategy identification When the current user is found to be a legitimate user, the above payment event is processed.

It can be seen that in the embodiment of the present invention, the mobile terminal first detects that the current payment event of the mobile terminal satisfies the preset payment condition, determines that the above payment event is a high security level payment event, and secondly obtains the prestored high security level payment event corresponding The high security level face recognition strategy, wherein, the high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the plurality of processing steps satisfies a preset condition, and finally, according to the above When the high security level face recognition policy recognizes that the current user is a legitimate user, the above payment event will be processed. It can be seen that when the mobile terminal detects that the current payment event is a high security level payment event, it uses a high security level face recognition strategy to identify whether the current user is a legitimate user to determine whether to process the payment event, which is conducive to improving face recognition in payment scenarios. safety and reliability.

In a possible example, the above-mentioned high security level face recognition policy includes performing multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, in terms of processing the above-mentioned payment event, the above-mentioned The processor 110 is specifically configured to: determine that the current user is a legitimate user and process the above payment event when it is detected that the number of times of successful recognition among the above-mentioned multiple face recognitions is greater than the first preset number of times.

In a possible example, the above-mentioned high security level face recognition policy includes performing multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, in terms of processing the above-mentioned payment event, the above-mentioned The processor 110 is specifically configured to: detect whether the number of consecutive successful face recognitions is greater than a second preset number of times in the above-mentioned multiple face recognitions; When setting the number of times, determine that the current user is a legitimate user and process the above payment events.

In a possible example, the above-mentioned at least one processing step is an operation in which the above-mentioned mobile terminal performs image collection through a camera; at least one parameter value associated with the above-mentioned at least one processing step is the collection frequency value of the above-mentioned camera; the above-mentioned at least one processing step is associated with At least one parameter value satisfies the preset condition that the collection frequency value is within a preset frequency range.

In a possible example, the above-mentioned at least one processing step is an operation of determining the preset facial template selected in this face recognition process; at least one parameter value associated with the above-mentioned at least one processing step is the number of times the preset facial template is used , duration of use and frequency of use; at least one parameter value associated with at least one of the above processing steps satisfies a preset condition that the number of times of use is greater than a preset threshold, or the duration of use is greater than a threshold of preset duration, or the frequency of use is greater than a preset frequency threshold.

Please refer to FIG. 2. FIG. 2 is a schematic flow diagram of a mobile payment method based on face recognition provided by an embodiment of the present invention, which is applied to a mobile terminal. As shown in the figure, the mobile payment method based on face recognition includes:

S201. The mobile terminal detects that a current payment event of the mobile terminal satisfies a preset payment condition, and determines that the payment event is a high security level payment event.

Wherein, the payment event is mobile payment through a mobile terminal, including but not limited to Alipay payment. WeChat payment, Apple payment, JD wallet payment, Baidu wallet payment and other payment events.

Wherein, the preset payment condition can be set by the user, and when the current payment condition meets the preset payment condition, it can be determined that the current payment event is a high security level payment event. The preset condition can be limited by the payment amount, for example, when the payment amount of the payment event exceeds a certain value, the amount is relatively large, and it can be determined that the current payment event is a high security level event, or it can be limited by the payment method, for example, when using When WeChat payment or Alipay payment is made, it can be determined as a high security level event, or it can be limited by the payment time. For example, if the payment event occurs during the low-frequency usage period of the user using mobile payment, from 0:00 to 9:00 am, it can be determined as a high security level event grade events.

S202. The mobile terminal obtains the pre-stored high security level face recognition policy corresponding to the above high security level payment event, wherein the high security level face recognition policy includes multiple processing steps, at least one of the multiple processing steps At least one associated parameter value satisfies a preset condition.

Wherein, when the current payment event is determined to be a high security level event, the high security level face recognition strategy corresponding to the high security level event stored in the mobile terminal is obtained, and the above high security level face recognition strategy is used to further ensure the security of the payment event sex and reliability.

Among them, the high security level face recognition policy may include multiple processing steps, the multiple processing steps may be set by the user, and at least one parameter of at least one processing step in the multiple processing steps needs to meet a preset condition, for example, the processing steps include Detect the brightness of the current environment. The preset condition is that the brightness of the current environment is higher than the preset brightness threshold. When it is detected that the brightness of the current environment must be higher than the preset brightness threshold, the face recognition can be performed to ensure that a clear face can be captured, and the human face can be improved. The accuracy of face recognition and improving the security of mobile payment.

S203. When the mobile terminal recognizes that the current user is a legitimate user according to the high security level face recognition policy, process the payment event.

Among them, the mobile terminal identifies whether the current user is a legitimate user according to the high-security face recognition strategy, and only processes the current payment event when the current user is recognized as a legitimate user.

Wherein, the mobile terminal can collect face images through the facial information collection device in the biological information collection device, and then the processor can extract feature points. Template matching, processing payment events.

It can be seen that in the embodiment of the present invention, the mobile terminal first detects that the current payment event of the mobile terminal satisfies the preset payment condition, determines that the above payment event is a high security level payment event, and secondly obtains the prestored high security level payment event corresponding The high security level face recognition strategy, wherein, the high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the plurality of processing steps satisfies a preset condition, and finally, according to the above When the high security level face recognition policy recognizes that the current user is a legitimate user, the above payment event will be processed. It can be seen that when the mobile terminal detects that the current payment event is a high security level payment event, it uses a high security level face recognition strategy to identify whether the current user is a legitimate user to determine whether to process the payment event, which is conducive to improving face recognition in payment scenarios. safety and reliability.

In a possible example, the above-mentioned high security level face recognition policy includes multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, processing the above payment event includes: When it is detected that the number of times of successful recognition among the above-mentioned multiple face recognitions is greater than the first preset number of times, it is determined that the current user is a legitimate user and the above-mentioned payment event is processed.

Among them, the customary face recognition process includes routine image acquisition, feature point extraction, template matching, and unlocking if the matching is successful. When the current payment event is a non-high security level payment event, the above steps only need to be performed once. And after they are all successful, it can be determined that the current user is a legitimate user. When the current payment event is a high-security payment event, it is necessary to perform face recognition multiple times in a row. There is a certain time interval between each face recognition. When it is detected that the number of successful identifications is greater than the first preset number of times, it is determined that the current user is a legitimate user and the payment event is processed.

For example, when the current payment event is a high-security payment event, the high-security face recognition strategy is used to identify whether the current user is a legitimate user, and five consecutive face recognitions are required. Only when the recognition is successful can the current user be determined to be a legitimate user, so as to process the payment event. The interval between each face recognition is 1 millisecond, which is conducive to improving the stability and reliability of the face recognition process.

Among them, in the process of performing multiple face recognitions, liveness detection can be added to determine whether the current user's face is a live face. Since multiple face recognitions can obtain multiple face images at different times, It can detect whether the preset face features in multiple face images have changed, and if there is a change, it can be determined that the current user's face is a live face.

It can be seen that in this example, a high-security face recognition strategy is used to identify whether the current user is a registered user, and multiple face recognitions are performed, which increases the complexity and recognition cycle of the face recognition process, which is conducive to improving the face recognition process. stability and reliability.

In a possible example, the above-mentioned high security level face recognition strategy includes performing multiple face recognition; when the above-mentioned high security level face recognition strategy identifies the current user as a legitimate user, processing the above payment event includes: detecting In the above-mentioned multiple face recognitions, whether the number of consecutive face recognition successes is greater than the second preset number of times; Handle the above payment event.

Among them, in order to further improve the reliability of face recognition, in the process of performing multiple consecutive face recognition, it is necessary to determine that the current user is a legitimate user and process it when the number of consecutive face recognition successes is greater than the second preset number of times. The above payment event. For example, when face recognition is performed 5 times, the current user can only be determined as a legal user when the number of consecutive face recognition successes exceeds 3 times. If there are more than 3 face recognition successes but not consecutively, it cannot be determined that the current user is for legitimate users.

It can be seen that in this example, when identifying whether the current user is a legitimate user according to the high security level face recognition strategy, it is necessary to perform face recognition multiple times in a row, and the number of consecutive successes during multiple face recognition processes is greater than the second preset The current user can only be determined to be a legitimate user after the number of times, which is conducive to improving the security and reliability of face recognition.

In a possible example, the above-mentioned at least one processing step is an operation in which the above-mentioned mobile terminal performs image collection through a camera; at least one parameter value associated with the above-mentioned at least one processing step is the collection frequency value of the above-mentioned camera; the above-mentioned at least one processing step is associated with At least one parameter value satisfies the preset condition that the collection frequency value is within a preset frequency range.

Among them, the high security level face recognition strategy includes a plurality of processing steps, one of which may be the operation of image acquisition through a camera, at least one parameter value associated with this processing step is the acquisition frequency value of the camera, etc., when the acquisition of the camera When the frequency value is within the preset frequency range, it indicates that the working state of the camera is relatively stable, and at this time, the face image of the current user is collected.

It can be seen that in this example, when the collection frequency value of the camera is within the preset frequency range, collecting the face image of the current user is beneficial to improve the accuracy and reliability of image collection.

In a possible example, the above-mentioned at least one processing step is an operation of determining the preset facial template selected in this face recognition process; at least one parameter value associated with the above-mentioned at least one processing step is the number of times the preset facial template is used , duration of use and frequency of use; at least one parameter value associated with at least one of the above processing steps satisfies a preset condition that the number of times of use is greater than a preset threshold, or the duration of use is greater than a threshold of preset duration, or the frequency of use is greater than a preset frequency threshold.

Among them, the high security level face recognition policy includes a plurality of processing steps, one of which may be the operation of determining the preset facial template selected in this face recognition process, and at least one parameter value associated with this processing step is preset The number of times of use, the duration of use and the frequency of use of the face template are set, and among the plurality of face templates in the mobile terminal, the face template whose use parameters meet the preset conditions is selected as the preset face template.

Wherein, the big data of the mobile terminal is acquired, the big data includes usage parameters of multiple facial templates of the mobile terminal, and the usage parameters of each facial template include usage times, usage duration and usage frequency.

Among them, the facial template whose use parameter meets the preset condition among the plurality of facial templates is determined as the preset facial template. For example, the preset condition can be that the number of times of use is the largest, 3 facial templates are stored in the mobile terminal, and facial template 1 uses The number of times is 100, the number of times of using face template 2 is 80 times, and the number of times of using face template 3 is 60 times. The panel template 1 is determined as the preset face template. The current user's face image and face template 1 can only be used after matching. Mobile payment means that only designated users can realize mobile payment through face recognition, which strengthens the security of face payment.

Wherein, if the current mobile terminal has successfully unlocked the desktop multiple times, the facial template that has successfully unlocked the desktop multiple times can be determined as the preset facial template, and face payment can only be performed when the current user's face matches the facial template successfully.

It can be seen that in this example, the face template whose parameters meet the preset conditions is determined as the preset face template, and the collected face image is matched with the preset face template to improve and optimize the template matching process. It is unique and improves the security and reliability of face recognition in payment scenarios.

Please refer to FIG. 3. FIG. 3 is a schematic flow diagram of a mobile payment method based on face recognition provided by an embodiment of the present invention, which is applied to a mobile terminal. As shown in the figure, the mobile payment method based on face recognition includes:

S301. The mobile terminal detects that a current payment event of the mobile terminal satisfies a preset payment condition, and determines that the payment event is a high security level payment event.

S302. The mobile terminal obtains the pre-stored high security level face recognition policy corresponding to the high security level payment event, wherein the high security level face recognition policy includes multiple processing steps, at least one of the multiple processing steps At least one associated parameter value satisfies a preset condition, and the above-mentioned high security level face recognition strategy includes multiple face recognitions.

S303. The mobile terminal detects whether the number of consecutive successful face recognitions among the multiple face recognitions is greater than a second preset number of times.

S304. When the mobile terminal detects that the number of consecutive face recognition successes is greater than a second preset number of times, determine that the current user is a legitimate user and process the payment event.

It can be seen that in the embodiment of the present invention, the mobile terminal first detects that the current payment event of the mobile terminal satisfies the preset payment condition, determines that the above payment event is a high security level payment event, and secondly obtains the prestored high security level payment event corresponding The high security level face recognition strategy, wherein, the high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the plurality of processing steps satisfies a preset condition, and finally, according to the above When the high security level face recognition policy recognizes that the current user is a legitimate user, the above payment event will be processed. It can be seen that when the mobile terminal detects that the current payment event is a high security level payment event, it uses a high security level face recognition strategy to identify whether the current user is a legitimate user to determine whether to process the payment event, which is conducive to improving face recognition in payment scenarios. safety and reliability.

Consistent with the embodiment shown in FIG. 2 above, please refer to FIG. 4. FIG. 4 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present invention. As shown in the figure, the mobile terminal includes a processor, a memory, and a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs include instructions for performing the following steps;

Detecting that the current payment event of the mobile terminal satisfies the preset payment condition, and determining that the above payment event is a high security level payment event;

Obtain the pre-stored high security level face recognition strategy corresponding to the above high security level payment event, wherein the above high security level face recognition strategy includes a plurality of processing steps, at least one parameter associated with at least one of the plurality of processing steps The value satisfies the preset condition;

When the current user is identified as a legitimate user according to the above-mentioned high security level face recognition policy, the above-mentioned payment event is processed.

It can be seen that in the embodiment of the present invention, the mobile terminal first detects that the current payment event of the mobile terminal satisfies the preset payment condition, determines that the above payment event is a high security level payment event, and secondly obtains the prestored high security level payment event corresponding The high security level face recognition strategy, wherein, the high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the plurality of processing steps satisfies a preset condition, and finally, according to the above When the high security level face recognition policy recognizes that the current user is a legitimate user, the above payment event will be processed. It can be seen that when the mobile terminal detects that the current payment event is a high security level payment event, it uses a high security level face recognition strategy to identify whether the current user is a legitimate user to determine whether to process the payment event, which is conducive to improving face recognition in payment scenarios. safety and reliability.

In a possible example, the above-mentioned high security level face recognition policy includes performing multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, in terms of processing the above-mentioned payment event, the above-mentioned The instructions in the program are specifically used to execute: when it is detected that the number of times of successful recognition in the above-mentioned multiple face recognitions is greater than the first preset number of times, determine that the current user is a legitimate user and process the above-mentioned payment event.

In a possible example, the above-mentioned high security level face recognition policy includes performing multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, in terms of processing the above-mentioned payment event, the above-mentioned The instructions in the program are specifically used to execute: detecting whether the number of successful consecutive face recognitions is greater than the second preset number of times in the above-mentioned multiple face recognitions; When setting the number of times, determine that the current user is a legitimate user and process the above payment events.

In a possible example, the above-mentioned at least one processing step is an operation in which the above-mentioned mobile terminal performs image collection through a camera; at least one parameter value associated with the above-mentioned at least one processing step is the collection frequency value of the above-mentioned camera; the above-mentioned at least one processing step is associated with At least one parameter value satisfies the preset condition that the collection frequency value is within a preset frequency range.

In a possible example, the above-mentioned at least one processing step is an operation of determining the preset facial template selected in this face recognition process; at least one parameter value associated with the above-mentioned at least one processing step is the number of times the preset facial template is used , duration of use and frequency of use; at least one parameter value associated with at least one of the above processing steps satisfies a preset condition that the number of times of use is greater than a preset threshold, or the duration of use is greater than a threshold of preset duration, or the frequency of use is greater than a preset frequency threshold.

The foregoing mainly introduces the solutions of the embodiments of the present invention from the perspective of executing the process on the method side.

It can be understood that, in order to realize the above functions, the mobile terminal includes hardware structures and/or software modules corresponding to each function. Those skilled in the art should easily realize that the present invention can be realized in the form of hardware or a combination of hardware and computer software in combination with the units and algorithm steps of each example described in the embodiments disclosed herein. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

In the embodiment of the present invention, the functional units of the mobile terminal may be divided according to the above method examples. For example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of the units in the embodiment of the present invention is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

In the case of adopting integrated units, FIG. 5 shows a possible composition block diagram of functional units of the mobile terminal involved in the above embodiments. The mobile terminal 500 includes: a processing unit 502 and a collection unit 503 . The processing unit 502 is used to control and manage the actions of the mobile terminal. For example, the processing unit 502 is used to support the mobile terminal to execute steps S201-S203 in FIG. 2, steps S301-S304 in FIG. other processes of the technology. The acquisition unit 503 is used for acquiring face images. The mobile terminal may also include a storage unit 501 for storing program codes and data of the mobile terminal.

Wherein, the above-mentioned processing unit 502 is used to detect that the current payment event of the mobile terminal satisfies the preset payment condition, to determine that the above-mentioned payment event is a high security level payment event; Hierarchical face recognition strategy, wherein the above-mentioned high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the above-mentioned multiple processing steps satisfies a preset condition; When the hierarchical face recognition strategy recognizes that the current user is a legitimate user, the above payment event will be processed.

In a possible example, the above-mentioned high security level face recognition policy includes performing multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, in terms of processing the above-mentioned payment event, the above-mentioned The processing unit 502 is specifically configured to: determine that the current user is a legitimate user and process the above-mentioned payment event when it is detected that the number of times of successful recognition among the above-mentioned multiple face recognitions is greater than the first preset number of times.

In a possible example, the above-mentioned high security level face recognition policy includes performing multiple face recognition; when the above-mentioned high security level face recognition policy identifies the current user as a legitimate user, in terms of processing the above-mentioned payment event, the above-mentioned The processing unit 502 is specifically configured to: detect whether the number of consecutive face recognition successes is greater than a second preset number of times among the above-mentioned multiple face recognitions; When setting the number of times, determine that the current user is a legitimate user and process the above payment events.

In a possible example, the above-mentioned at least one processing step is an operation in which the above-mentioned mobile terminal performs image collection through a camera; at least one parameter value associated with the above-mentioned at least one processing step is the collection frequency value of the above-mentioned camera; the above-mentioned at least one processing step is associated with At least one parameter value satisfies the preset condition that the collection frequency value is within a preset frequency range.

In a possible example, the above-mentioned at least one processing step is an operation of determining the preset facial template selected in this face recognition process; at least one parameter value associated with the above-mentioned at least one processing step is the number of times the preset facial template is used , duration of use and frequency of use; at least one parameter value associated with at least one of the above processing steps satisfies a preset condition that the number of times of use is greater than a preset threshold, or the duration of use is greater than a threshold of preset duration, or the frequency of use is greater than a preset frequency threshold.

Wherein, the processing unit 502 may be a processor or a controller, the collection unit 503 may be a biological information image device, such as an iris image collection device, a facial image collection device, a fingerprint image collection device, etc., and the storage unit 501 may be a memory.

An embodiment of the present invention also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any method described in the above method embodiments , the above computer includes a mobile terminal.

An embodiment of the present invention also provides a computer program product. The computer program product includes a non-transitory computer-readable storage medium storing a computer program. The computer program is operable to make the computer perform any one of the methods described in the above method embodiments Some or all steps of the method. The computer program product may be a software installation package, and the above-mentioned computer includes a mobile terminal.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present invention is not limited by the described action sequence. Because of the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the above-mentioned integrated units are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable memory. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the above-mentioned methods in various embodiments of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, abbreviated: ROM), random access device (English: Random Access Memory, abbreviated: RAM), magnetic disk or optical disk, etc.

The embodiments of the present invention have been described in detail above, and specific examples have been used in this paper to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only used to help understand the method and core idea of the present invention; at the same time, for Those skilled in the art will have changes in the specific implementation and scope of application according to the idea of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (14)

1. A mobile terminal, characterized in that it comprises a processor, a face image acquisition device and a memory connected to the processor, wherein, The human face image collection device is used to collect human face images; The memory is used to store preset facial templates; The processor is configured to detect that the current payment event of the mobile terminal satisfies a preset payment condition, determine that the payment event is a high-security-level payment event; and obtain a pre-stored high-security-level person corresponding to the high-security-level payment event A face recognition strategy, wherein the high security level face recognition strategy includes a plurality of processing steps, at least one parameter value associated with at least one processing step in the plurality of processing steps satisfies a preset condition; and according to the high security level When the face recognition strategy recognizes that the current user is a legitimate user, the payment event is processed. 2. The mobile terminal according to claim 1, wherein the high security level face recognition strategy includes multiple face recognitions; and when the current user is identified according to the high security level face recognition strategy When the user is a legitimate user, in terms of processing the payment event, the processor is specifically configured to: determine that the current user is a legitimate user and Process the payment event. 3. The mobile terminal according to claim 1, wherein the high security level face recognition policy includes multiple face recognitions; and when the current user is identified according to the high security level face recognition policy When it is a legitimate user, in terms of processing the payment event, the processor is specifically used to: detect whether the number of consecutive face recognition successes in the multiple face recognitions is greater than the second preset number of times; When it is detected that the number of consecutive face recognition successes is greater than a second preset number of times, it is determined that the current user is a legitimate user and the payment event is processed. 4. The mobile terminal according to claim 1, wherein the at least one processing step is the operation of image acquisition by the mobile terminal through a camera; at least one parameter value associated with the at least one processing step is the The acquisition frequency value of the camera; at least one parameter value associated with the at least one processing step satisfies a preset condition that the acquisition frequency value is within a preset frequency range. 5. The mobile terminal according to claim 1, characterized in that, said at least one processing step is the operation of determining the selected preset facial template in this face recognition process; said at least one processing step is associated with at least One parameter value is the number of times of use, the duration of use and the frequency of use of the preset facial template; at least one parameter value associated with the at least one processing step satisfies a preset condition that the number of times of use is greater than a preset number of thresholds, or the duration of use greater than a preset duration threshold, or the usage frequency is greater than a preset frequency threshold. 6. A mobile payment method based on face recognition, comprising: Detecting that the current payment event of the mobile terminal satisfies the preset payment condition, and determining that the payment event is a high security level payment event; Obtain the pre-stored high security level face recognition policy corresponding to the high security level payment event, wherein the high security level face recognition policy includes a plurality of processing steps, at least one of the processing steps associated with the plurality of processing steps At least one parameter value satisfies a preset condition; When the current user is identified as a legitimate user according to the high security level face recognition policy, the payment event is processed. 7. The method according to claim 6, wherein the high security level face recognition strategy includes multiple face recognitions; the current user is identified as legal according to the high security level face recognition strategy When the user handles the payment event, including: When it is detected that the number of times of successful recognition among the multiple times of face recognition is greater than the first preset number of times, it is determined that the current user is a legitimate user and the payment event is processed. 8. The method according to claim 6, wherein the high security level face recognition strategy includes multiple face recognitions; the current user is identified as legal according to the high security level face recognition strategy When the user handles the payment event, including: Detecting whether the number of consecutive successful face recognitions in the multiple face recognitions is greater than the second preset number of times; When it is detected that the number of consecutive face recognition successes is greater than a second preset number of times, it is determined that the current user is a legitimate user and the payment event is processed. 9. The method according to claim 6, wherein the at least one processing step is the operation of image acquisition by the mobile terminal through a camera; at least one parameter value associated with the at least one processing step is the camera The collection frequency value; the at least one parameter value associated with the at least one processing step satisfies a preset condition that the collection frequency value is within a preset frequency range. 10. The method according to claim 6, characterized in that, said at least one processing step is the operation of determining the selected preset facial template in this face recognition process; at least one associated with said at least one processing step The parameter value is the number of times of use, the duration of use and the frequency of use of the preset facial template; at least one parameter value associated with the at least one processing step satisfies the preset condition that the number of times of use is greater than the threshold of the preset number of times, or the duration of use is greater than A preset duration threshold, or the usage frequency is greater than a preset frequency threshold. 11. A mobile terminal, comprising a processing unit, The processing unit is configured to detect that the current payment event of the mobile terminal satisfies a preset payment condition, and determine that the payment event is a high security level payment event; The processing unit is further configured to obtain a pre-stored high security level face recognition strategy corresponding to the high security level payment event, wherein the high security level face recognition strategy includes a plurality of processing steps, and the plurality of processing At least one parameter value associated with at least one processing step in the steps satisfies a preset condition; The processing unit is further configured to process the payment event when it is recognized that the current user is a legitimate user according to the high security level face recognition policy. 12. The mobile terminal according to claim 11, characterized in that, the high security level face recognition strategy includes multiple face recognitions; when the current user is identified according to the high security level face recognition strategy When it is a legitimate user, processing the payment event, the processing unit is specifically configured to: determine that the current user is a legitimate user and Process the payment event. 13. A mobile terminal, characterized in that it comprises a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured by the processing executed by a computer, the program includes instructions for performing the steps in any one of the methods of claims 6-10. 14. A computer-readable storage medium, characterized in that it stores a computer program for electronic data exchange, wherein the computer program causes the computer to execute the method according to any one of claims 6-10, the Computers include mobile terminals.