CN105760736B - The method and tripper of application program unlock - Google Patents

Abstract

The present invention provides the unlocking method of application program and devices, including：Based on security classes application program, the recognition of face unlocking manner of any application program is set；When detecting that user operates the activation trigger for any application program being in the lock state, obtain the image information of terminal device screen front end, subsequently determine whether user's face area in image information relative to terminal device position whether in predetermined identification range, when judge user's face area relative to terminal device position in predetermined identification range when, obtain user's facial feature information, user's facial feature information is then inputted into pre-established judgment models and carries out comparison verification, if it is determined that when the corresponding data that prestores in user's facial feature information and judgment models matches, activate the application program being in the lock state.The present invention greatly improves the safety of unlock, it is ensured that and user's is safe to use, meanwhile, it has provided more easily unlocking manner to the user, has improved the usage experience of user.

Description

Application program unlocking method and unlocking device

technical field

The present invention relates to the field of computer technology, and in particular, the present invention relates to an application program unlocking method and an application program unlocking device.

Background technique

With the development of the times, various terminal devices have become an indispensable tool in people's life, and various powerful terminal operating systems and terminal applications continue to emerge, bringing more convenient experience to users. With the continuous improvement of the security level of terminal applications, users can encrypt and lock terminal applications according to their own security and privacy requirements. The program is unlocked. In the existing technology, the encryption and unlocking methods of gesture patterns or numbers are generally used. Since this type of unlocking method is relatively simple, there are certain security risks and lack of interest. At the same time, users often forget complex unlocking gestures. Patterns or digital passwords will have a negative impact on the normal use of legitimate users, thus affecting the user experience. Therefore, it is necessary to provide an unlocking method of an application program that is convenient and interesting for the user to operate, simplifies the user's unlocking operation process, and at the same time ensures that the encryption and unlocking methods have high security, thereby improving the user's experience.

Contents of the invention

In order to overcome the above-mentioned technical problems or at least partially solve the above-mentioned technical problems, the following technical solutions are proposed:

Embodiments of the present invention propose a method for unlocking an application program, including:

Based on the security application, set the face recognition unlock method of any application;

When the user's activation trigger operation on any application in the locked state is detected, the image information on the front end of the terminal device's screen is obtained;

Judging whether the position of the user's face area in the image information relative to the terminal device is within the predetermined recognition range;

When it is judged that the position of the user's facial area relative to the terminal device is within the predetermined recognition range, acquire the user's facial feature information;

Input the user's facial feature information into the pre-established judgment model for comparison and verification, and if it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, activate the application in the locked state.

Preferably, the step of judging whether the position of the user's face area in the image information relative to the terminal device is within a predetermined recognition range includes:

Determine whether the image information on the front end of the terminal device screen contains the user's face data;

When it is determined that the image information at the front end of the screen of the terminal device contains the user's face data, it is determined whether the position of the user's face area relative to the terminal device is within a predetermined recognition range.

Among them, obtaining the user's facial feature information is specifically realized by including but not limited to any of the following face recognition methods:

Face recognition method based on geometric features;

Face recognition method based on eigenface;

Face recognition method based on neural network;

Face recognition method based on elastic graph matching;

Face recognition method based on support vector machine.

Among them, it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, specifically by including but not limited to any of the following methods:

Recognition algorithm based on facial feature points;

Recognition algorithm based on the whole face image;

Template-based recognition algorithm;

Algorithms for recognition using neural networks.

Preferably, the user's facial feature information is input into a pre-established judgment model for comparison and verification, and if it is determined that the user's facial feature information matches the pre-stored corresponding data in the judgment model, the application program in the locked state is activated, including:

When the comparison verification obtains that the user's facial feature information matches the corresponding data pre-stored in the judgment model, return the verification success value;

According to the verification success value, activate the application in the locked state.

Preferably, when the user's activation trigger operation on any application in the locked state is detected, the image information on the front end of the screen of the terminal device is acquired, specifically including:

When the user's activation trigger operation on any application in the locked state is detected, the security application's face recognition unlocking function for any application is started.

Among them, the steps of activating the application in the locked state include:

Activate any application in a locked state through the security class application.

Another embodiment of the present invention proposes an application program unlocking device, comprising:

The setting module is used to set the face recognition unlocking method of any application based on the security application;

The detection and acquisition module is used to acquire the image information on the front end of the screen of the terminal device when detecting the activation trigger operation of the application program in the locked state by the user;

A judging module, configured to judge whether the position of the user's face area in the image information relative to the terminal device is within a predetermined recognition range;

An acquisition module, configured to acquire user facial feature information when judging that the position of the user's facial area relative to the terminal device is within a predetermined recognition range;

The determination and activation module is used to input the user's facial feature information into the pre-established judgment model for comparison and verification, and activate the application program in the locked state when it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model.

Preferably, the judging module includes:

The first judging unit is used to judge whether the image information at the front end of the screen of the terminal device contains the user's facial data;

The second judging unit is configured to judge whether the position of the user's face area relative to the terminal device is within a predetermined recognition range when it is judged that the image information at the front end of the screen of the terminal device includes the user's face data.

Among them, obtaining the user's facial feature information is specifically realized by including but not limited to any of the following face recognition methods:

Face recognition method based on geometric features;

Face recognition method based on eigenface;

Face recognition method based on neural network;

Face recognition method based on elastic graph matching;

Face recognition method based on support vector machine.

Among them, it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, specifically by including but not limited to any of the following methods:

Recognition algorithm based on facial feature points;

Recognition algorithm based on the whole face image;

Template-based recognition algorithm;

Algorithms for recognition using neural networks.

Preferably, the determination and activation module includes:

The return unit is used to return the verification success value when the user's facial feature information obtained by the comparison verification matches the corresponding data pre-stored in the judgment model;

The activation unit is configured to activate the application program in the locked state according to the verification success value.

Preferably, the detection and acquisition module specifically includes:

The detecting and starting unit is configured to start the face recognition unlocking function of the security application program for any application program when detecting the activation trigger operation of any application program in the locked state by the user.

Among them, determining and activating modules, specifically include:

The activation unit is used for activating any application program in a locked state through a security application program.

In the embodiment of the present invention, an application program unlocking scheme is proposed. When the terminal device detects the user's activation trigger operation on the application program in the locked state, it acquires the image information at the front end of the terminal device screen, and then judges the user's face in the image information. Whether the position of the area relative to the terminal device is within the predetermined recognition range can determine whether the acquired image of the user's face area is complete and valid, avoiding subsequent processing of invalid image information and improving the efficiency of face recognition and unlocking; when judging When the position of the user's facial area relative to the terminal device is within the predetermined recognition range, the user's facial feature information can be obtained, and the diversified unlocking methods of face recognition can be realized by obtaining different facial feature information of the user; finally, the user's facial feature The information is input into the pre-established judgment model for comparison and verification. If it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, the application in the locked state is activated to complete the unlocking process quickly and conveniently. Since there are differences in the feature information of different faces, the unlocking method through face recognition greatly improves the security of unlocking and ensures the safety of users. At the same time, by automatically obtaining user face feature information and The way of automatic identification reduces the operation process of user unlocking, provides users with a more convenient unlocking method, and improves the user experience. It provides more fun and deepens the user experience.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and will become apparent from the description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and easy to understand from the following description of the embodiments in conjunction with the accompanying drawings, wherein:

FIG. 1 is a flow chart of an application unlocking method according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of an application program unlocking device according to another embodiment of the present invention.

Detailed ways

Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and/or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Additionally, "connected" or "coupled" as used herein may include wireless connection or wireless coupling. The expression "and/or" used herein includes all or any elements and all combinations of one or more associated listed items.

Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this invention belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have meanings consistent with their meaning in the context of the prior art, and unless specifically defined as herein, are not intended to be idealized or overly Formal meaning to explain.

FIG. 1 is a flow chart of a method for unlocking an application program in an embodiment of the present invention.

In the embodiment of the present invention, the content of each step is summarized as follows: Step S100: Based on the security application program, set the face recognition unlocking method of any application program; Step S110: Detect that the user has locked any When the activation of the application program triggers an operation, obtain the image information at the front end of the terminal device screen; step S120: judge whether the position of the user's face area in the image information relative to the terminal device is within the predetermined recognition range; step S130: when judging the user's face area When the position relative to the terminal device is within the predetermined recognition range, obtain the user's facial feature information; Step S140: Input the user's facial feature information into the pre-established judgment model for comparison and verification, if it is determined that the user's facial feature information and the judgment model When the pre-stored corresponding data matches, the application in the locked state is activated.

In the embodiment of the present invention, an application unlocking method is proposed, and the face recognition unlocking method of any application is set based on the security application; the terminal device detects that the user activates the application that is in the locked state and triggers the operation , obtain the image information at the front end of the terminal device screen, and then judge whether the position of the user's face area relative to the terminal device in the image information is within the predetermined recognition range, and judge whether the acquired user's face area image is complete and valid, avoiding the Subsequent processing of invalid image information improves the efficiency of face recognition unlocking; when it is judged that the position of the user's face area relative to the terminal device is within the predetermined recognition range, the user's facial feature information can be obtained, which can be obtained by obtaining the user's different face facial feature information to realize the diversified unlocking methods of face recognition; finally, input the user facial feature information into the pre-established judgment model for comparison and verification. The application in the locked state can complete the unlocking process quickly and conveniently. Since there are differences in the feature information of different faces, the unlocking method through face recognition greatly improves the security of unlocking and ensures the safety of users. At the same time, by automatically obtaining user face feature information and The way of automatic identification reduces the operation process of user unlocking, provides users with a more convenient unlocking method, and improves the user experience. It provides more fun and deepens the user experience. The following is a further description of the specific implementation of each step:

Step S100: Based on the security application, set the face recognition unlocking method of any application.

For example, through the security application SecurityApp of the terminal device, the unlocking method of the application App2 is set as the unlocking method of face recognition. Step S110: Acquiring the image information of the front end of the screen of the terminal device when the user's activation trigger operation on any application in the locked state is detected. Specifically, when the user's activation trigger operation on any application in the locked state is detected, the image acquisition device of the terminal device can be started to acquire image information on the front end of the screen of the terminal device.

Wherein, the image acquisition device of the terminal device is, for example, a front camera of the terminal device.

For example, in the terminal device, when the user's activation trigger operation on the locked application program App1 is detected, the front camera of the terminal device is started to obtain the image information of the front end of the screen of the terminal device.

Specifically, the step 110 also includes step S111 (not shown in the figure); step S111: when detecting the activation trigger operation of any application program in the locked state by the user, start the security application program for any application program face recognition unlock function.

For example, when the user's activation trigger operation on the locked application App2 is detected, the face recognition unlocking function of the security application SecurityApp for the application App2 is started, such as starting the front camera of the terminal device through the SecurityApp to obtain the terminal device Image information on the front of the screen.

Preferably, any application program in a locked state is activated through a security application program.

For example, when the user's facial feature information matches the pre-stored facial feature information data of the unlocking user in the judgment model, a verification success value such as "True" is returned to SecurityApp, and then SecurityApp "True" activates the locked application App2.

Step S120: Determine whether the position of the user's face area in the image information relative to the terminal device is within a predetermined recognition range.

Among them, the basis for judging whether the position of the user's face area in the image information relative to the terminal device is within the predetermined recognition range includes but is not limited to the following situations:

Determine whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range according to the distance between the user's face area and the terminal device;

Determine whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range according to the direction of the user's face area relative to the terminal device;

It is determined whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range according to the inclination angle of the user's face area relative to the terminal device.

In a preferred embodiment, step S120 specifically includes step S121 (not shown in the figure) and step S122 (not shown in the figure); step S121: determine whether the image information on the front end of the terminal device screen contains the user's facial data; Step S122: When it is determined that the image information at the front end of the screen of the terminal device contains the user's face data, determine whether the position of the user's face area relative to the terminal device is within a predetermined recognition range.

For example, in the terminal device, the recognizable range of the predetermined user's face area relative to the far and near position of the terminal device is 15 cm to 60 cm. When the user's activation trigger operation on the locked application App1 is detected, the terminal The front camera of the device obtains the image information on the front end of the terminal device screen. For example, if the image information on the front end of the terminal device screen can be judged to contain the user's face data through the existing image processing technology in face recognition, according to the user's face area in the image information Relative to the far and near position of the terminal device, such as 20 centimeters, it can be determined that the user's face area in the image information is within the predetermined recognition range.

For another example, in the terminal device, the identifiable range of the predetermined user's face area relative to the direction position of the terminal device is that the deviation distance between the center position of the user's face area and the center position of the acquired image information is 0 to 1 cm. When the user triggers the activation of the locked application program App1, start the front camera of the terminal device to obtain the image information of the front end of the terminal device screen. When the image information contains the user's face data, according to the direction position of the user's face area relative to the terminal device in the image information, the deviation distance between the center position of the user's face area and the center position of the acquired image information is 0.2 cm, and the image information can be judged The area of the user's face in the information is within the predetermined recognition range.

For another example, in the terminal device, the identifiable range of the inclination angle position of the predetermined user's face area relative to the terminal device is 30° to 100°. Start the front camera of the terminal device to obtain the image information on the front end of the terminal device screen. For example, if the image information on the front end of the terminal device screen can be judged to contain the user's face data through the existing image processing technology in face recognition, according to the user's face data in the image information, If the tilt angle position of the front area relative to the terminal device is 10°, it can be determined that the user's face area in the image information is not within the predetermined recognition range.

Step S130: When it is judged that the position of the user's face area relative to the terminal device is within a predetermined recognition range, acquire user's facial feature information.

Among them, obtaining the user's facial feature information is specifically realized by including but not limited to any of the following face recognition methods:

Face recognition method based on geometric features;

Face recognition method based on eigenface;

Face recognition method based on neural network;

Face Recognition Method Based on Elastic Graph Matching.

For example, when it is judged that the position of the user's facial area relative to the terminal device is within the predetermined recognition range, the user's facial feature information can be obtained through a face recognition method based on geometric features, including the acquisition of the user's facial features and user Facial expression feature information, etc.

Step S140: Input the user's facial feature information into the pre-established judgment model for comparison and verification. If it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, activate the locked application.

Among them, it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, specifically by including but not limited to any of the following methods:

Recognition algorithm based on facial feature points;

Recognition algorithm based on the whole face image;

Template-based recognition algorithm;

Algorithms for recognition using neural networks.

Among them, the situation that the user’s facial feature information matches the pre-stored corresponding data in the judgment model includes that the user’s facial feature information is the same as the pre-stored facial feature data corresponding to the unlocking user in the judgment model, or the user’s facial feature information corresponds to the pre-stored data in the judgment model. The difference of the facial feature data of the unlocking user is within a predetermined difference range.

For example, after obtaining the user's facial feature information, input the user's facial feature information into the pre-established judgment model and compare and verify it through a recognition algorithm based on facial feature points. When the facial feature information data corresponding to the unlocked user matches, activate the application in the locked state.

In a preferred embodiment, step S140 specifically includes step S141 (not shown in the figure) and step S142 (not shown in the figure); step S141: when the user's facial feature information obtained from the comparison verification corresponds to the pre-stored in the judgment model When the data match, return the verification success value; Step S142: activate the application in the locked state according to the verification success value.

For example, when the user's facial feature information obtained from the comparison check matches the facial feature information data of the corresponding unlocking user stored in the judgment model, a verification success value such as "True" is returned, and then, according to the verification success value, " True" to activate the locked application App1.

FIG. 2 is a schematic structural diagram of an application program unlocking device according to another embodiment of the present invention. Wherein, the unlocking device includes a setting module 210 , a detection and acquisition module 220 , a judgment module 230 , an acquisition module 240 and a determination and activation module 250 .

In the embodiment of the present invention, the content executed by each module is as follows: based on the security application program, the setting module 210 sets the face recognition unlocking mode of any application program; the detection and acquisition module 220 detects that the user has locked the application When the activation of the program triggers an operation, the image information at the front end of the terminal device screen is obtained; the judging module 230 judges whether the position of the user's face area in the image information relative to the terminal device is within a predetermined recognition range; When the position of the terminal device is within the predetermined recognition range, the user's facial feature information is obtained; the determination and activation module 250 inputs the user's facial feature information into the pre-established judgment model for comparison and verification. When the corresponding data pre-stored in the model matches, the application in the locked state is activated.

In the embodiment of the present invention, an application program unlocking device is proposed. Based on the security application program, the face recognition unlocking method of any application program is set, and the terminal device detects the activation trigger of the application program in the locked state by the user. During operation, obtain the image information at the front end of the screen of the terminal device, and then judge whether the position of the user's face area relative to the terminal device in the image information is within the predetermined recognition range, and judge whether the acquired image of the user's face area is complete and valid, to avoid The subsequent processing of invalid image information is improved, and the efficiency of face recognition and unlocking is improved; when it is judged that the position of the user's face area relative to the terminal device is within the predetermined recognition range, the user's facial feature information can be obtained, which can be obtained by obtaining the user's different The facial feature information realizes the diversified unlocking methods of face recognition; finally, the user's facial feature information is input into the pre-established judgment model for comparison and verification. If it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, Activate the locked application to complete the unlocking process quickly and easily. Since there are different differences in the feature information of different faces, the unlocking method through face recognition greatly improves the security of unlocking and ensures the safety of users. At the same time, by automatically obtaining user face feature information and The way of automatic identification reduces the operation process of user unlocking, provides users with a more convenient unlocking method, and improves the user experience. It provides more fun and deepens the user experience. The following is a further description of the specific implementation of each module:

Based on the security application, the setting module 210 sets the face recognition unlocking method of any application.

For example, through the security application SecurityApp of the terminal device, the unlocking method of the application App2 is set as the unlocking method of face recognition.

Wherein, the detection and acquisition module specifically includes a detection and activation unit (not shown in the figure); the detection and activation unit is used to detect the activation trigger operation of any application program in the locked state by the user, and start the security application for Face recognition unlock for either app.

For example, when the user's activation trigger operation on the locked application App2 is detected, the face recognition unlocking function of the security application SecurityApp for the application App2 is started, such as starting the front camera of the terminal device through the SecurityApp to obtain the terminal device Image information on the front of the screen.

Preferably, any application program in a locked state is activated through a security application program.

For example, when the user's facial feature information matches the pre-stored facial feature information data of the unlocking user in the judgment model, a verification success value such as "True" is returned to SecurityApp, and then SecurityApp "True" activates the locked application App2.

The detection and acquisition module 220 acquires the image information of the front end of the screen of the terminal device when detecting the activation trigger operation of the application program in the locked state by the user.

Specifically, when a user's activation trigger operation on an application program in a locked state is detected, the image acquisition device of the terminal device may be started to acquire image information on the front end of the screen of the terminal device.

Wherein, the image acquisition device of the terminal device is, for example, a front camera of the terminal device.

For example, in the terminal device, when the user's activation trigger operation on the locked application program App1 is detected, the front camera of the terminal device is started to obtain the image information of the front end of the screen of the terminal device.

The judging module 230 judges whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range.

Among them, the basis for judging whether the position of the user's face area in the image information relative to the terminal device is within the predetermined recognition range includes but is not limited to the following situations:

Determine whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range according to the distance between the user's face area and the terminal device;

Determine whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range according to the direction of the user's face area relative to the terminal device;

It is determined whether the position of the user's face area relative to the terminal device in the image information is within a predetermined recognition range according to the inclination angle of the user's face area relative to the terminal device.

In a preferred embodiment, the judgment module specifically includes a first judgment unit (not shown in the figure) and a second judgment unit (not shown in the figure); the first judgment unit judges whether the image information on the front end of the screen of the terminal device contains the face data; the second judging unit judges whether the position of the user's face area relative to the terminal device is within a predetermined recognition range when it is judged that the image information on the front end of the terminal device screen contains the user's face data.

For example, in the terminal device, the recognizable range of the predetermined user's face area relative to the far and near position of the terminal device is 15 cm to 60 cm. When the user's activation trigger operation on the locked application App1 is detected, the terminal The front camera of the device obtains the image information on the front end of the terminal device screen. For example, if the image information on the front end of the terminal device screen can be judged to contain the user's face data through the existing image processing technology in face recognition, the user's face area in the image information Relative to the far and near position of the terminal device, such as 20 centimeters, it can be determined that the user's face area in the image information is within the predetermined recognition range.

For another example, in the terminal device, the identifiable range of the predetermined user's face area relative to the direction position of the terminal device is that the deviation distance between the center position of the user's face area and the center position of the acquired image information is 0 to 1 cm. When the user triggers the activation of the locked application program App1, start the front camera of the terminal device to obtain the image information of the front end of the terminal device screen. When the image information contains the user's face data, according to the direction position of the user's face area relative to the terminal device in the image information, the deviation distance between the center position of the user's face area and the center position of the acquired image information is 0.2 cm, and the image information can be judged The area of the user's face in the information is within the predetermined recognition range.

For another example, in the terminal device, the identifiable range of the inclination angle position of the predetermined user's face area relative to the terminal device is 30° to 100°. Start the front camera of the terminal device to obtain the image information on the front end of the terminal device screen. For example, if the image information on the front end of the terminal device screen can be judged to contain the user's face data through the existing image processing technology in face recognition, according to the user's face data in the image information, If the tilt angle position of the front area relative to the terminal device is 10°, it can be determined that the user's face area in the image information is not within the predetermined recognition range.

When the acquisition module 240 determines that the position of the user's face area relative to the terminal device is within a predetermined recognition range, acquire the user's facial feature information.

Among them, obtaining the user's facial feature information is specifically realized by including but not limited to any of the following face recognition methods:

Face recognition method based on geometric features;

Face recognition method based on eigenface;

Face recognition method based on neural network;

Face Recognition Method Based on Elastic Graph Matching.

For example, when it is judged that the position of the user's facial area relative to the terminal device is within the predetermined recognition range, the user's facial feature information can be obtained through a face recognition method based on geometric features, including the acquisition of the user's facial features and user Facial expression feature information, etc.

The determining and activating module 250 inputs the user's facial feature information into the pre-established judgment model for comparison and verification, and if it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, the locked application is activated.

Among them, it is determined that the user's facial feature information matches the corresponding data pre-stored in the judgment model, specifically by including but not limited to any of the following methods:

Recognition algorithm based on facial feature points;

Recognition algorithm based on the whole face image;

Template-based recognition algorithm;

Algorithms for recognition using neural networks.

Among them, the situation that the user’s facial feature information matches the pre-stored corresponding data in the judgment model includes that the user’s facial feature information is the same as the pre-stored facial feature data corresponding to the unlocking user in the judgment model, or the user’s facial feature information corresponds to the pre-stored data in the judgment model. The difference of the facial feature data of the unlocking user is within a predetermined difference range.

For example, after obtaining the user's facial feature information, input the user's facial feature information into the pre-established judgment model and compare and verify it through a recognition algorithm based on facial feature points. When the facial feature information data corresponding to the unlocked user matches, activate the application in the locked state.

In a preferred embodiment, the determination and activation module specifically includes a return unit (not shown in the figure) and an activation unit (not shown in the figure); the return unit obtains the user's facial feature information and the judgment model pre-stored When the corresponding data match, return the verification success value; the activation unit activates the application program in the locked state according to the verification success value.

For example, when the user's facial feature information obtained from the comparison check matches the facial feature information data of the corresponding unlocking user stored in the judgment model, a verification success value such as "True" is returned, and then, according to the verification success value, " True" to activate the locked application App1.

Those skilled in the art will appreciate that the present invention includes devices related to performing one or more of the operations described in this application. These devices may be specially designed and fabricated for the required purposes, or they may include known devices found in general purpose computers. These devices have computer programs stored therein that are selectively activated or reconfigured. Such a computer program can be stored in a device (e.g., computer) readable medium, including but not limited to any type of medium suitable for storing electronic instructions and respectively coupled to a bus. Types of disks (including floppy disks, hard disks, CDs, CD-ROMs, and magneto-optical disks), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory, random access memory), EPROM (Erasable Programmable Read-Only Memory, Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or optical card. That is, a readable medium includes any medium that stores or transmits information in a form readable by a device (eg, a computer).

Those skilled in the art will understand that computer program instructions can be used to implement each block in these structural diagrams and/or block diagrams and/or flow diagrams and combinations of blocks in these structural diagrams and/or block diagrams and/or flow diagrams . Those skilled in the art can understand that these computer program instructions can be provided to general-purpose computers, professional computers, or processors of other programmable data processing methods for implementation, so that the computer or processors of other programmable data processing methods can execute the present invention. A scheme specified in a block or blocks of a structure diagram and/or a block diagram and/or a flow diagram of the invention disclosure.

Those skilled in the art can understand that the various operations, methods, and steps, measures, and schemes in the processes that have been discussed in the present invention can be replaced, changed, combined, or deleted. Furthermore, other steps, measures, and schemes in the various operations, methods, and processes that have been discussed in the present invention may also be replaced, changed, rearranged, decomposed, combined, or deleted. Further, steps, measures, and schemes in the prior art that have operations, methods, and processes disclosed in the present invention can also be alternated, changed, rearranged, decomposed, combined, or deleted.

The above descriptions are only part of the embodiments of the present invention. It should be pointed out that those skilled in the art can make some improvements and modifications without departing from the principles of the present invention. It should be regarded as the protection scope of the present invention.

Claims (10)

1. a kind of unlocking method of application program, which is characterized in that be in the lock state by the activation of security classes application program Any application program, including：

Based on the security classes application program, the recognition of face unlocking manner of any application program is set；

When detecting that user operates the activation trigger for any application program being in the lock state, start the security classes application Program pin is to the recognition of face unlocking function of any application program, to obtain the image information of terminal device screen front end；

Judge user's face area in described image information relative to the terminal device position whether in predetermined identification range It is interior；

When judge user's face area relative to the terminal device position in predetermined identification range when, obtain user Facial feature information；

User's facial feature information is inputted into pre-established judgment models and carries out comparison verification, however, it is determined that the user face When the corresponding data that prestores in characteristic information and the judgment models matches, the application program being in the lock state is activated.

2. according to the method described in claim 1, judging that user's face area is set relative to the terminal in described image information Standby position whether the step in predetermined identification range, including：

Judge whether the image information of terminal device screen front end includes the face data of user；

When judging that the image information of terminal device screen front end includes the face data of user, the user face is judged Region relative to the terminal device position whether in predetermined identification range.

3. according to the method described in claim 1, user's facial feature information is obtained, especially by least any one of following Face identification method is realized：

Face identification method based on geometric properties；

The face identification method of feature based face；

Face identification method based on neural network；

Face identification method based on elastic graph matching；

Face identification method based on support vector machines.

4. prestoring in user's facial feature information and the judgment models pair according to the method described in claim 1, determining Data match is answered, is realized especially by least following either type：

Recognizer based on human face characteristic point；

Recognizer based on whole picture facial image；

Recognizer based on template；

The algorithm being identified using neural network.

5. being carried out according to the method described in claim 1, user's facial feature information is inputted pre-established judgment models Comparison verification, however, it is determined that when the corresponding data that prestores in user's facial feature information and the judgment models matches, activation The application program being in the lock state, including：

When comparison, which verifies the corresponding data that obtains prestoring in user's facial feature information and judgment models, to match, school is returned to Test success value；

According to the verification success value, the application program being in the lock state is activated.

6. a kind of tripper of application program, which is characterized in that appointed by what security application activation was in the lock state One application program, including：

The recognition of face unlocking manner of any application program is arranged for being based on the security classes application program in setup module；

Detection and acquisition module, for detecting that user operates the activation trigger for any application program being in the lock state When, start the recognition of face unlocking function that the security classes application program is directed to any application program, is set with obtaining terminal The image information of standby screen front end；

Judgment module, for judge user's face area in described image information relative to the terminal device position whether In predetermined identification range；

Acquisition module, for when the position for judging user's face area relative to the terminal device is in predetermined identification range When interior, user's facial feature information is obtained；

Determining and active module, comparison school is carried out for user's facial feature information to be inputted pre-established judgment models It tests, however, it is determined that when the corresponding data that prestores in user's facial feature information and the judgment models matches, activation is in lock Determine the application program of state.

7. device according to claim 6, the judgment module specifically includes：

First judging unit, for judging whether the image information of terminal device screen front end includes face's number of user According to；

Second judgment unit judges the face data that the image information of terminal device screen front end includes user for working as When, judge user's face area relative to the terminal device position whether in predetermined identification range.

8. device according to claim 6 obtains user's facial feature information, especially by least any one of following Face identification method is realized：

Face identification method based on geometric properties；

The face identification method of feature based face；

Face identification method based on neural network；

Face identification method based on elastic graph matching；

Face identification method based on support vector machines.

9. device according to claim 6, determines and prestore in user's facial feature information and the judgment models pair Data match is answered, is realized especially by least following either type：

Recognizer based on human face characteristic point；

Recognizer based on whole picture facial image；

Recognizer based on template；

The algorithm being identified using neural network.

10. device according to claim 6, the determination and active module, including：

Returning unit, for obtaining user's facial feature information and the corresponding data phase that prestores in judgment models when comparison verification When matching, back-checking success value；

Unit is activated, for according to the verification success value, activating the application program being in the lock state.