CN116910734A - Biological feature identification method for power operation and maintenance, terminal equipment and storage medium - Google Patents
Biological feature identification method for power operation and maintenance, terminal equipment and storage medium Download PDFInfo
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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Abstract
The invention discloses a biological characteristic identification method, terminal equipment and storage medium for power operation and maintenance, wherein the method comprises the following steps: acquiring an initial verification area for acquiring biological characteristics of a person to be identified and environmental information at the current moment; the environmental information includes any one or a combination of the following: shade information and illumination information; when determining that the area with the illumination intensity larger than the preset threshold exists in the initial verification area according to the illumination information or determining that the shielding object exists in the initial verification area according to the shielding object information, adjusting the initial verification area to obtain an adjusted target verification area, so that the target verification area does not have the area with the illumination intensity larger than the preset threshold and does not have the shielding object; collecting biological characteristic information of a person to be identified according to the target verification area; the biological characteristic information is compared with the preset characteristic information, whether the person to be identified passes the verification is judged according to the comparison result, and the accuracy of biological characteristic identification can be improved by implementing the invention.
Description
Technical Field
The present invention relates to the field of power operation and maintenance technologies, and in particular, to a method for identifying biological features of power operation and maintenance, a terminal device, and a storage medium.
Background
The identity verification of operators in the power operation and maintenance scene is an application related to high security level and high reliability requirements, and real-time, accurate and interference-free identification is required for the operators. But in the process of collecting the biological characteristics of the operators, due to the influence of the environment, such as light, shielding objects and the like, the collected biological characteristics comprise the characteristics of the shielding objects and the like, so that the collected biological characteristics can be inaccurate, and the identity verification of the operators is inaccurate.
Disclosure of Invention
The embodiment of the invention provides a biological characteristic identification method, terminal equipment and storage medium for power operation and maintenance, which can improve the accuracy of biological characteristic identification in a power operation and maintenance scene, and further improve the accuracy of identity verification of operators.
An embodiment of the present invention provides a biometric identification method for power operation and maintenance, including:
acquiring an initial verification area for acquiring biological characteristics of a person to be identified and environmental information at the current moment; wherein the environmental information includes any one or a combination of the following: shade information and illumination information;
when determining that the initial verification area has an area with the illumination intensity larger than a preset threshold value according to the illumination information or determining that the initial verification area has a shielding object according to the shielding object information, adjusting the initial verification area to obtain an adjusted target verification area, so that the target verification area does not have an area with the illumination intensity larger than the preset threshold value and does not have the shielding object;
collecting biological characteristic information of the personnel to be identified according to the target verification area;
comparing the biological characteristic information with preset characteristic information, and judging whether the person to be identified passes verification or not according to the comparison result.
Further, the collecting the biometric information of the person to be identified according to the target verification area includes: collecting a biological characteristic image of the person to be identified in the target area; identifying an image type corresponding to the biometric image; determining corresponding feature point information to be acquired according to the image type; and extracting the characteristics of the biological characteristic image according to the characteristic point information to obtain the biological characteristic information of the person to be identified.
Further, before identifying the image type corresponding to the biometric image, the method further includes: extracting color information of the biological characteristic image; acquiring gray values corresponding to the colors in the color information; comparing the gray value of each color with a preset gray value of the corresponding color to generate a gray value comparison result; and when the gray value comparison result is determined to not meet the preset requirement, adjusting the gray value to generate an adjusted biological feature image.
Further, the identifying the image type corresponding to the biometric image includes: and determining the corresponding image type according to the outline of the biological characteristic image.
Further, the extracting the characteristics of the biometric image according to the characteristic point information to obtain biometric information of the person to be identified includes: normalizing the biological characteristic image to obtain a normalized image; inputting the normalized image and the characteristic point information into a preset characteristic extraction network, so that the characteristic extraction network sequentially carries out convolution processing and pooling processing on the normalized image, and extracting the biological characteristic information of the personnel to be identified according to the pooling processing result and the characteristic point information.
Further, the comparing the biological feature information with preset feature information, and judging whether the person to be identified passes the verification according to the comparison result, including: determining a biological characteristic type corresponding to the biological characteristic information, and determining a characteristic comparison parameter according to the biological characteristic type; comparing the biological characteristic information with preset characteristic information to obtain a comparison result, and judging whether the person to be identified passes the verification or not according to the characteristic comparison parameters and the comparison result.
Further, the determining the biometric type corresponding to the biometric information, and determining the feature comparison parameter according to the biometric type, includes: determining a biological characteristic type corresponding to the biological characteristic information, and determining an initial characteristic comparison parameter according to the biological characteristic type; comparing the biological characteristic information with preset characteristic information based on the initial characteristic comparison parameters, and obtaining comparison times when the comparison is passed; when the comparison times are larger than preset times, determining the parameter types and corresponding parameter values in the initial characteristic comparison parameters; determining a target parameter type to be adjusted in the parameter types according to the comparison times; and adjusting the target parameter value corresponding to the target parameter type to obtain the characteristic comparison parameter.
On the basis of the method item embodiment, the invention correspondingly provides a terminal equipment item embodiment;
an embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements the biometric identification method for power operation and maintenance according to any one of the present invention when the computer program is executed by the processor.
On the basis of the method item embodiment, the invention correspondingly provides a storage medium item embodiment;
an embodiment of the present invention provides a storage medium, where the storage medium includes a stored computer program, where the computer program when executed controls a device where the storage medium is located to perform any one of the biometric identification methods for power operation and maintenance of the present invention.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a biological characteristic identification method, terminal equipment and storage medium for power operation and maintenance, wherein the method comprises the following steps: acquiring an initial verification area for acquiring biological characteristics of a person to be identified and environmental information at the current moment; wherein the environmental information includes any one or a combination of the following: shade information and illumination information; when determining that the area with the illumination intensity larger than the preset threshold exists in the initial verification area according to the illumination information or determining that the shielding object exists in the initial verification area according to the shielding object information, adjusting the initial verification area to obtain an adjusted target verification area, so that the target verification area does not have the area with the illumination intensity larger than the preset threshold and does not have the shielding object; collecting biological characteristic information of a person to be identified according to the target verification area; and comparing the biological characteristic information with preset characteristic information, and judging whether the personnel to be identified pass verification or not according to the comparison result. Compared with the prior art, the method and the device have the advantages that before the biological characteristic information of the personnel to be identified is extracted, the initial verification area is adjusted according to the environmental information at the current moment, the target verification area can be adaptively adjusted according to the environmental information, the situation that the area with overlarge illumination intensity exists in the target verification area or a shielding object exists in the target verification area is avoided, the biological characteristic information extracted later is more accurate, and further the verification of the personnel to be identified is more accurate.
Drawings
Fig. 1 is a flowchart of a biometric identification method for power operation and maintenance according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Firstly, it should be noted that the biological feature recognition method for power operation and maintenance provided by the present invention is suitable for a biological feature recognition device, where the biological feature recognition device may be a mobile phone, a tablet computer, a personal computer, etc.
As shown in fig. 1, an embodiment of the present invention provides a biometric identification method for power operation and maintenance, at least including the following steps:
step S1, acquiring an initial verification area for acquiring biological characteristics of a person to be identified and environmental information at the current moment; wherein the environmental information includes any one or a combination of the following: occlusion information and illumination information.
It is appreciated that the present embodiment may be applied in a power operation and maintenance scenario, i.e. a scenario in which operation of a power system is maintained. The person to be identified refers to the person needing to be subjected to biological feature identification, and can be a worker, an external person and the like in the electric power operation and maintenance scene. The biometric features may include facial, fingerprint, etc.
In a specific implementation, an initial verification area capable of performing biological feature collection on the biological feature recognition device can be determined, namely, biological feature collection can be performed on a person to be recognized in the initial verification area; extracting environmental information at the current moment;
the environmental information can comprise illumination information, wherein the illumination information can be illumination information received by a part of a person to be identified for biological feature acquisition, such as face, fingers and the like, and can also comprise illumination information received by biological feature identification equipment; the environmental information may further include information of a shielding object between the biometric identification device and a portion of the person to be identified that performs biometric acquisition at the current time, when the acquisition portion is a finger, the biometric identification device and the finger do not have the information of the shielding object, and when the acquisition portion is a face, the biometric identification device and the finger may have the information of the shielding object.
And step S2, when the area with the illumination intensity larger than the preset threshold value exists in the initial verification area according to the illumination information or the occlusion object exists in the initial verification area according to the occlusion object information, adjusting the initial verification area to obtain an adjusted target verification area, so that the target verification area does not have the area with the illumination intensity larger than the preset threshold value and does not have the occlusion object.
For step S2, after the environmental information is acquired, the initial verification area may be adjusted according to the environmental information;
preferably, if a shielding object exists between the person to be identified and the biological feature identification equipment according to the shielding object information, namely the shielding object exists in the initial verification area; the initial verification area may be first reduced or moved according to the occlusion information, and the occlusion information may be removed from the area on the biometric device, i.e., the area on the initial verification area that includes the occlusion information may be deleted, or the initial verification area may be moved until the initial verification area does not include the occlusion information.
Preferably, the reduced or moved area may be adjusted again according to the illumination information, and specifically, when the illumination information received by the area where the person to be identified performs the biometric feature collection is greater than the preset illumination intensity (i.e. the preset threshold), it is indicated that the area may have an exposure phenomenon, and at this time, the biometric feature recognition device may collect only the area smaller than the preset illumination intensity, for example, when collecting the face, there is an exposure phenomenon on the hair and the right ear, and may collect the area of the face except the hair and the right ear, and at this time, the reduced or moved area needs to be reduced or moved again until the biometric feature information of the exposed area cannot be collected. According to the method and the device for verifying the target verification area, the initial verification area can be adjusted for multiple times according to the information of the shielding object and the illumination information, and the adjusted target verification area is obtained, so that the final target verification area does not have an area with the illumination intensity larger than a preset threshold value and does not have the shielding object.
And step S3, collecting the biological characteristic information of the personnel to be identified according to the target verification area.
For step S3, in a preferred embodiment, the collecting biometric information of the person to be identified according to the target verification area includes: collecting a biological characteristic image of the person to be identified in the target area; identifying an image type corresponding to the biometric image; determining corresponding feature point information to be acquired according to the image type; and extracting the characteristics of the biological characteristic image according to the characteristic point information to obtain the biological characteristic information of the person to be identified.
Determining a corresponding image type according to the outline of the biological characteristic image;
in a preferred embodiment, the extracting the characteristics of the biometric image according to the characteristic point information to obtain biometric information of the person to be identified includes:
normalizing the biological characteristic image to obtain a normalized image;
inputting the normalized image and the characteristic point information into a preset characteristic extraction network, so that the characteristic extraction network sequentially carries out convolution processing and pooling processing on the normalized image, and extracting the biological characteristic information of the personnel to be identified according to the pooling processing result and the characteristic point information.
Specifically, it can be understood that a biometric image of the person to be identified can be acquired in the target verification area, and the biometric image can be a face image, a fingerprint image, or the like. The image type corresponding to the biological characteristic image can be determined, the type corresponding to the human face image is the human face type, the type corresponding to the fingerprint image is the fingerprint type, and the corresponding image type is determined according to the outline of the collected biological characteristic image.
The feature point information to be acquired is determined according to the image type, and the feature point information to be acquired may not be the same for each image type. Eye feature points, nose feature points, mouth feature points, ear feature points, etc., each of which may include a plurality of points. And extracting the characteristics of the normalized image according to the characteristic point information to obtain the biological characteristic information of the personnel to be identified, namely extracting each characteristic point in the normalized image to obtain the biological characteristic information corresponding to each characteristic point.
When the feature extraction is carried out, inputting the normalized image into a feature extraction network preset in the value, carrying out convolution processing on the feature extraction network through a convolution layer to obtain a convolution processing result, carrying out pooling processing through a maximum pooling layer to ensure that more texture information is reserved in the pooling processing result, and finally extracting biological feature information according to the pooling processing result and feature point information;
it should be noted that, image normalization refers to converting an original image to be processed into a corresponding unique standard form (the standard form image has unchanged characteristics for affine transformation such as translation, rotation, scaling, etc.) through a series of transformations, and performing normalization processing on the biological feature image, so that the measurement units of the obtained normalized image are basically unified, the subsequent processing process of the image is simpler, and the efficiency of extracting the image features is improved.
In a preferred embodiment, before identifying the image type corresponding to the biometric image, the method further comprises:
extracting color information of the biological characteristic image; acquiring gray values corresponding to the colors in the color information; comparing the gray value of each color with a preset gray value of the corresponding color to generate a gray value comparison result; and when the gray value comparison result is determined to not meet the preset requirement, adjusting the gray value to generate an adjusted biological feature image.
Specifically, when the biological characteristics of the person to be identified are collected, color information in the currently displayed picture of the target verification area can be obtained first, and can be represented by RGB. And comparing the gray values corresponding to the colors in the color information, calculating the difference between the gray values corresponding to the colors in the color information and the preset gray values of the corresponding colors, and if the difference is larger than a set value, determining that the gray value comparison result does not meet the preset requirement, and adjusting the gray values of the corresponding colors to be consistent with the preset gray values. The preset gray value may be in a standard color gamut of the biometric device.
It should be noted that, the color information in the adjustment picture can affect the collection time of collecting the biometric information, and through this embodiment, the gray value of each color in the picture can be adjusted to be under the standard color gamut, so as to shorten the collection time required when collecting the biometric information.
And S4, comparing the biological characteristic information with preset characteristic information, and judging whether the personnel to be identified pass verification or not according to the comparison result.
For step S4, in a preferred embodiment, the comparing the biometric information with preset feature information, and determining whether the person to be identified passes the verification according to the comparison result includes:
determining a biological characteristic type corresponding to the biological characteristic information, and determining a characteristic comparison parameter according to the biological characteristic type; comparing the biological characteristic information with preset characteristic information to obtain a comparison result, and judging whether the person to be identified passes the verification or not according to the characteristic comparison parameters and the comparison result.
Specifically, the biometric type refers to a type corresponding to the biometric information, for example, a type of a face, a fingerprint, etc., and the corresponding feature comparison parameter is determined according to the biometric type, for example, when the biometric type is a fingerprint type, the corresponding feature comparison parameter may include: fingerprint comparison similarity threshold, fingerprint comparison sample number, etc.
The preset characteristic information is preset characteristic information of all staff, passable staff and the like in the power operation and maintenance scene, and can be used for comparing with the biological characteristic information collected at the current moment to judge whether the personnel to be identified pass through at the current moment.
In a specific implementation, the biometric information may be compared with the preset feature information based on the feature comparison parameter, specifically, it is assumed that the feature comparison parameter is a similarity threshold; and comparing the biological characteristic information with preset characteristic information, and calculating the similarity between the biological characteristic information and the preset characteristic information, wherein the similarity is larger than the similarity threshold set in the characteristic comparison parameters, and the verification is passed.
In a preferred embodiment, the determining the biometric type corresponding to the biometric information, and determining the feature alignment parameter according to the biometric type, includes:
determining a biological characteristic type corresponding to the biological characteristic information, and determining an initial characteristic comparison parameter according to the biological characteristic type; comparing the biological characteristic information with preset characteristic information based on the initial characteristic comparison parameters, and obtaining comparison times when the comparison is passed; when the comparison times are larger than preset times, determining the parameter types and corresponding parameter values in the initial characteristic comparison parameters; determining a target parameter type to be adjusted in the parameter types according to the comparison times; and adjusting the target parameter value corresponding to the target parameter type to obtain the characteristic comparison parameter.
Specifically, the biological feature information is compared with the preset feature information based on the initial feature comparison parameters, when the comparison is passed, feature comparison times in the comparison process can be obtained, and when the comparison times are greater than the preset times, the parameter types and corresponding parameter values in the initial feature comparison parameters are determined, for example, the parameter types are fingerprint comparison sampling numbers, and the corresponding parameter values are specific numbers. At this time, the target parameter type to be adjusted can be determined according to the comparison times, and the parameter type affecting the comparison times can be used as the target parameter type, for example, when the comparison times are too many, the fingerprint comparison sampling number is indicated to be too large or the fingerprint comparison similarity threshold value is indicated to be too large, and at this time, the parameter value corresponding to the fingerprint comparison sampling number and the fingerprint comparison similarity threshold value can be reduced to obtain the feature comparison parameter.
The initial characteristic comparison parameters are adjusted, so that the comparison result obtained by comparing the biological characteristic information with the preset characteristic information based on the characteristic comparison parameters is more accurate, and the biological characteristic can be identified more accurately.
On the basis of the method item embodiment, another embodiment is provided;
another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement the biometric identification method for power operation and maintenance provided in any one of the foregoing method embodiments of the present invention.
The computer program may be divided into one or more modules/units, which are stored in the memory and executed by the processor to accomplish the present invention, for example. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used for describing the execution of the computer program in the terminal device.
The terminal equipment can be computing equipment such as a desktop computer, a notebook computer, a palm computer, a cloud server and the like. The terminal device may include, but is not limited to, a processor, a memory. Those skilled in the art will appreciate that the terminal devices may also include input-output devices, network access devices, buses, etc., for example.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the terminal device, and which connects various parts of the entire terminal device using various interfaces and lines.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the terminal device by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
On the basis of the embodiment of the invention, a storage medium item embodiment is correspondingly provided;
another embodiment of the present invention provides a storage medium, where the storage medium includes a stored computer program, where the computer program when executed controls a device where the storage medium is located to execute a biometric identification method for power operation provided by any one of the foregoing method embodiments of the present invention.
Wherein the storage medium is a computer storage medium, and the modules/units integrated by the apparatus/terminal device may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as a separate product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (9)
1. A biometric identification method for power operation and maintenance, comprising:
acquiring an initial verification area for acquiring biological characteristics of a person to be identified and environmental information at the current moment; wherein the environmental information includes any one or a combination of the following: shade information and illumination information;
when determining that the initial verification area has an area with the illumination intensity larger than a preset threshold value according to the illumination information or determining that the initial verification area has a shielding object according to the shielding object information, adjusting the initial verification area to obtain an adjusted target verification area, so that the target verification area does not have an area with the illumination intensity larger than the preset threshold value and does not have the shielding object;
collecting biological characteristic information of the personnel to be identified according to the target verification area;
comparing the biological characteristic information with preset characteristic information, and judging whether the person to be identified passes verification or not according to the comparison result.
2. The biometric identification method for power operation and maintenance according to claim 1, wherein the collecting biometric information of the person to be identified according to the target verification area includes:
collecting a biological characteristic image of the person to be identified in the target area;
identifying an image type corresponding to the biometric image;
determining corresponding feature point information to be acquired according to the image type;
and extracting the characteristics of the biological characteristic image according to the characteristic point information to obtain the biological characteristic information of the person to be identified.
3. The biometric identification method for power operation according to claim 2, further comprising, before identifying the image type to which the biometric image corresponds:
extracting color information of the biological characteristic image;
acquiring gray values corresponding to the colors in the color information;
comparing the gray value of each color with a preset gray value of the corresponding color to generate a gray value comparison result; and when the gray value comparison result is determined to not meet the preset requirement, adjusting the gray value to generate an adjusted biological feature image.
4. The method for biometric identification of electrical power operation according to claim 2, wherein the identifying the image type to which the biometric image corresponds comprises:
and determining the corresponding image type according to the outline of the biological characteristic image.
5. The biometric identification method for power operation and maintenance according to claim 2, wherein the feature extraction of the biometric image according to the feature point information to obtain biometric information of the person to be identified comprises:
normalizing the biological characteristic image to obtain a normalized image;
inputting the normalized image and the characteristic point information into a preset characteristic extraction network, so that the characteristic extraction network sequentially carries out convolution processing and pooling processing on the normalized image, and extracting the biological characteristic information of the personnel to be identified according to the pooling processing result and the characteristic point information.
6. The method for identifying biological characteristics of power operation and maintenance according to claim 1, wherein comparing the biological characteristic information with preset characteristic information, and judging whether the person to be identified passes verification according to the comparison result comprises:
determining a biological characteristic type corresponding to the biological characteristic information, and determining a characteristic comparison parameter according to the biological characteristic type;
comparing the biological characteristic information with preset characteristic information to obtain a comparison result, and judging whether the person to be identified passes the verification or not according to the characteristic comparison parameters and the comparison result.
7. The method for biometric identification of electrical power operation according to claim 6, wherein the determining the biometric type to which the biometric information corresponds and determining the feature comparison parameter according to the biometric type comprises:
determining a biological characteristic type corresponding to the biological characteristic information, and determining an initial characteristic comparison parameter according to the biological characteristic type;
comparing the biological characteristic information with preset characteristic information based on the initial characteristic comparison parameters, and obtaining comparison times when the comparison is passed;
when the comparison times are larger than preset times, determining the parameter types and corresponding parameter values in the initial characteristic comparison parameters;
determining a target parameter type to be adjusted in the parameter types according to the comparison times;
and adjusting the target parameter value corresponding to the target parameter type to obtain the characteristic comparison parameter.
8. A terminal device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the biometric identification method for power operation and maintenance according to any one of claims 1 to 7 when the computer program is executed.
9. A storage medium comprising a stored computer program, wherein the computer program, when run, controls a device in which the storage medium is located to perform the biometric identification method for power operation according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118552999A (en) * | 2024-07-12 | 2024-08-27 | 北京诺君安信息技术股份有限公司 | Biological characteristic acquisition method for side inspection integrated machine |
| CN119312311A (en) * | 2024-12-18 | 2025-01-14 | 戎行技术有限公司 | A biometric comprehensive verification processing method |
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2023
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118552999A (en) * | 2024-07-12 | 2024-08-27 | 北京诺君安信息技术股份有限公司 | Biological characteristic acquisition method for side inspection integrated machine |
| CN119312311A (en) * | 2024-12-18 | 2025-01-14 | 戎行技术有限公司 | A biometric comprehensive verification processing method |
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