Eye equipment identity verification method and device

Abstract

The invention discloses an eye equipment identity verification method and device. The method comprises the following steps: acquiring image information of eye equipment; performing image processing on the eye equipment image information to obtain target image area information; the target image area information comprises first target area information and second target area information; and performing verification processing on the target image region information to obtain target identity verification result information.

Description

Technical Field

[0001] The present invention relates to the field of image processing technology, and in particular to a method and device for verifying the identity of an eye device. Background Art

[0002] Iris recognition refers to a biometric identification technology that uses the unique and rich texture information contained in the iris area of ​​the human eyeball to identify the person. Because iris information itself has the characteristics of uniqueness, stability, anti-counterfeiting, and non-contact, it has the advantages of being difficult to change and not easily affected by external factors compared to traditional biometric identification technologies such as fingerprint recognition and facial recognition, thus having higher security and rigor. At present, the change of traditional iris recognition permissions is not flexible enough, and it is difficult to adapt to complex scenarios that require frequent changes in permissions; mobile devices cannot match large-scale recognition tasks and the cost of changes is high; and the traditional permission allocation method has the defects of poor concealment. Therefore, a method and device for eye device identity verification is provided to improve the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide an eye device identity verification method and device that are conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0004] In order to solve the above technical problems, the first aspect of the embodiments of the present invention discloses a method for verifying the identity of an eye device, the method comprising:

[0005] Obtaining eye device image information;

[0006] Performing image processing on the eye device image information to obtain target image area information; the target image area information includes first target area information and second target area information;

[0007] The target image area information is verified to obtain target identity verification result information.

[0008] A second aspect of an embodiment of the present invention discloses an eye device identity verification device, the device comprising:

[0009] An acquisition module, used for acquiring image information of an eye device;

[0010] A first processing module, configured to perform image processing on the eye device image information to obtain target image area information; the target image area information includes first target area information and second target area information;

[0011] The second processing module is used to verify the target image area information to obtain target identity verification result information. The third aspect of the present invention discloses another eye device identity verification device, the device comprising:

[0012] A memory storing executable program code;

[0013] a processor coupled to the memory;

[0014] The processor calls the executable program code stored in the memory to execute part or all of the steps in the eye device identity verification method disclosed in the first aspect of the embodiment of the present invention.

[0015] The fourth aspect of the present invention discloses a computer-readable storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the eye device identity verification method disclosed in the first aspect of an embodiment of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a flowchart of an eye device identity verification method disclosed in an embodiment of the present invention;

[0018] Figure 2 It is a structural schematic diagram of an eye device identity verification device disclosed in an embodiment of the present invention;

[0019] Figure 3 It is a structural schematic diagram of another eye device identity verification device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or equipment.

[0022] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0023] The present invention discloses an eye device identity verification method and device, which are beneficial to improving the flexibility and accuracy of eye device identity verification, simplifying the verification process, and improving the verification efficiency, so as to achieve highly flexible and confidential identity verification and authorization. The following are detailed descriptions.

[0024] Embodiment 1

[0025] See also Figure 1 , Figure 1 : is a flow chart of a method for verifying an eye device identity disclosed in an embodiment of the present invention. Figure 1 The described eye device identity verification method is applied to a management system, such as a local server or a cloud server for management, and the embodiments of the present invention are not limited thereto. Figure 1 As shown, the eye device identity verification method may include the following operations:

[0026] 101. Obtain image information of an eye device.

[0027] 102. Perform image processing on the eye device image information to obtain target image area information.

[0028] In the embodiment of the present invention, the target image region information includes first target region information and second target region information.

[0029] 103. Verify the target image area information to obtain target identity verification result information.

[0030] It should be noted that the target image area information represents the specific area information of the glasses containing the permission information, and does not rely on the background database: the contact lens is used as a mobile database, and the iris information, permission information, account information and other personal related information are encrypted into a QR code or a specific pattern, stored on the contact lens, and compared with the iris area displayed in real time by the current user using feature extraction, information decryption, feature matching and other algorithms to determine in real time whether the user wearing the lens has access rights, and the storage and computing power requirements of the device are relatively small. Furthermore, the eye device identity verification method of the present application does not confirm the permission information from the current user identity information, but is independently allocated through the permission information in the contact lens to achieve double verification, making the permission allocation more flexible, confidential and hidden.

[0031] It should be noted that the above-mentioned eye device image information is a user image collected when the eye is aimed at the camera of the corresponding acquisition device, and the captured image includes two specific areas of the entire eyeball.

[0032] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0033] In an optional embodiment, the image processing of the eye device image information to obtain the target image area information includes:

[0034] Pre-processing the image information of the eye device to obtain initial image processing information;

[0035] Perform image detection processing on the initial image information to obtain the target image area information.

[0036] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0037] In another optional embodiment, pre-processing the eye device image information to obtain initial image processing information includes:

[0038] Performing noise reduction processing on the image information of the eye device to obtain noise reduction image processing information;

[0039] Performing image enhancement processing on the noise reduction image processing information to obtain enhanced image processing information;

[0040] The enhanced image processing information is binarized using a first binary threshold to obtain initial image processing information; the first binary threshold is a positive integer between [100, 150].

[0041] It should be noted that the above-mentioned denoising process for the ocular device image information is to remove impurities and interference in the image. It can use a neural network for denoising or a synovial method for denoising, which is not limited in the embodiment of the present invention.

[0042] It should be noted that the image enhancement processing of the noise reduction image processing information is to improve the contrast and clarity of the image. Further, the image enhancement includes image smoothing, grayscale conversion, color enhancement, etc., which is not limited in the embodiment of the present invention.

[0043] It should be noted that the above-mentioned binarization processing of the enhanced image processing information using the first binary threshold is to convert the grayscale image into a binary image to simplify the subsequent processing process.

[0044] Preferably, the first binary threshold is 125.

[0045] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0046] In yet another optional embodiment, performing image detection processing on the initial image information to obtain target image area information includes:

[0047] Performing region division on the initial image information to obtain initial image region information; the initial image region information includes M first image region information; M is an even number greater than 2; each first image region information corresponds to a sector angle interval;

[0048] For any first image region information in the initial image region information, perform contour recognition processing on the first image region information to obtain initial contour information corresponding to the first image region information;

[0049] Performing filtering and screening processing on the initial contour information corresponding to the first image region information to obtain screened contour information corresponding to the first image region information;

[0050] Performing contour fitting processing on the screening contour information corresponding to the first image region information to obtain target contour region information corresponding to the first image region information;

[0051] Determine whether the overlap between the fan-shaped angle interval corresponding to the target contour area information and the first target angle interval is greater than or equal to a first overlap threshold, and obtain a first overlap determination result;

[0052] When the first coincidence judgment result is yes, determining the target contour area information as the first target area information;

[0053] When the first coincidence judgment result is no, determine whether the coincidence degree between the fan-shaped angle interval corresponding to the target contour area information and the second target angle interval is greater than or equal to a second coincidence degree threshold, and obtain a second coincidence judgment result;

[0054] When the second coincidence judgment result is yes, determining the target contour area information as the second target area information;

[0055] When the second coincidence judgment result is no, the judgment process corresponding to the second coincidence judgment result is terminated.

[0056] It should be noted that the above-mentioned fan-shaped angle intervals are not equally divided, and the fan-shaped angle intervals corresponding to the symmetrical first image region information are consistent.

[0057] Preferably, the above M is 4.

[0058] It should be noted that the above-mentioned contour recognition processing of the first image region information is image edge detection, which can be performed by using a Sobel operator.

[0059] It should be noted that the calculation method of the above overlap is:

[0060] Overlap degree = (overlap angle span between the sector angle interval and the target angle interval) / angle span corresponding to the sector angle interval;

[0061] The target angle interval includes a first target angle interval and a second target angle interval. For example, when the fan angle interval corresponding to the target contour area information is [45°, 60°] and the first target angle interval is [50°, 70°], the overlap angle span between the fan angle interval and the target angle interval is [50°, 60°], i.e., 10°, and the angle span of the fan angle interval corresponding to the target contour area information is 15°, so the overlap is 10 / 15=2 / 3.

[0062] It should be noted that the first overlap threshold and the second overlap threshold may be consistent or inconsistent. Preferably, the first overlap threshold is not less than the second overlap threshold.

[0063] It should be noted that the first target angle interval, the second target angle interval, the first overlap threshold, and the second overlap threshold are preset in the system by the user, and are not limited in this embodiment of the present invention.

[0064] It should be noted that the upper and lower angle limits corresponding to the second target angle interval are greater than the upper and lower angle limits corresponding to the first target angle interval.

[0065] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0066] In yet another optional embodiment, the target image area information is verified to obtain target identity verification result information, including:

[0067] Performing feature recognition processing on the first target area information to obtain first target feature information;

[0068] Performing feature recognition processing on the second target area information to obtain second target feature information;

[0069] The first target feature information and the second target feature information are verified to obtain target identity verification result information.

[0070] In this optional embodiment, as an optional implementation manner, the above-mentioned performing feature recognition processing on the second target area information to obtain the second target feature information includes:

[0071] Performing edge detection processing on the second target area information to obtain first detection feature information;

[0072] Performing regional positioning processing on the first detection feature information to obtain second detection feature information;

[0073] Performing feature extraction processing on the second detection feature information to obtain third detection feature information;

[0074] The third detection feature information is encoded to obtain the second target feature information.

[0075] It should be noted that the above-mentioned edge detection processing of the second target area information is to perform edge detection on the entire eye image to determine the specific area after obtaining a clear and visible eye image. The Sobel operator is mainly used for edge detection to determine the real-time iris display area and the verification and authority information area.

[0076] It should be noted that the above-mentioned region positioning processing of the first detection feature information is to fit the contour of the specific region using the least squares method.

[0077] It should be noted that the feature extraction process performed on the second detection feature information is to use three 2D-Gabor filters to perform feature extraction, and to combine the results of the real part and the imaginary part respectively.

[0078] It should be noted that the above encoding process of the third detection feature information is to convert the third detection feature information into a binary sequence of 0 and 1 to obtain the second target feature information.

[0079] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0080] In an optional embodiment, the above-mentioned performing feature recognition processing on the first target area information to obtain the first target feature information includes:

[0081] Performing positioning and identification processing on the first target area information to obtain positioning target area information; the first target area information includes three positioning area image information and one direction area image information; the three positioning area image information are used for positioning and identification; and the one direction area image information is used for direction adjustment;

[0082] Directionally adjusting the positioning target area information to obtain direction target area information;

[0083] Extracting data from the directional target area information to obtain extracted feature data information;

[0084] Performing error correction processing on the extracted characteristic data information to obtain corrected characteristic data information;

[0085] The correction feature data information is binary-converted to obtain the first target feature information.

[0086] It should be noted that the above-mentioned feature recognition processing of the first target area information to obtain the first target feature information is a process of using a designated device to scan the information on the QR code and convert it into a readable iris feature information and other information sequences such as permissions. After image processing, the device will analyze and process the binarized image, extract the feature information such as the edges and corners of the QR code, and describe and store it accordingly. Next, the device will decode the feature information and convert it into readable data.

[0087] It should be noted that the positioning and identification processing of the first target area information and the direction adjustment of the positioning target area information are to determine the position and direction of the QR code. The QR code contains three positioning patterns and one alignment pattern, through which the position and direction of the QR code can be determined.

[0088] It should be noted that the above-mentioned data extraction of the directional target area information and the error correction processing of the extracted characteristic data information are to extract the data and error check code in the two-dimensional code matrix and perform error correction processing on the data.

[0089] It should be noted that the above binary conversion of the corrected feature data information restores the data to the original binary code. For example, error checking, decoding algorithms and decoding tables are used to decode and convert the data into binary data. These methods can match the feature information with pre-defined encoding rules, find the correct decoding method, and convert the encoding rules into a sequence of iris feature information and other related information such as permissions.

[0090] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0091] In another optional embodiment, the first target feature information and the second target feature information are verified to obtain target identity verification result information, including:

[0092] Using the verification model, the first target feature information and the second target feature information are calculated and processed to obtain a feature verification value;

[0093] The verification model is:

[0094]

[0095] Where A is the characteristic verification value; X a is the ath first target feature value information in the first target feature information; Y a is the ath second target feature value information in the ath target feature information; B is the number of target feature value information;

[0096] Determine whether the characteristic verification value is greater than or equal to the verification threshold, and obtain the verification judgment result;

[0097] When the verification judgment result is yes, determining that the target identity verification result information is consistent with the identity verification information;

[0098] When the verification judgment result is no, it is determined that the target identity verification result information is inconsistent with the identity verification information.

[0099] It should be noted that the above target feature value information includes first target feature value information and second target feature value information. Further, the quantities of the two target feature value information are consistent.

[0100] It should be noted that the above verification threshold is a positive number greater than 0.8 and less than 1.

[0101] It should be noted that the consistency of the above-mentioned identity verification information indicates that the identity information and authority level of the current person matches the information preset in the eye device, so that the user identity can be directly identified without relying on the database stored in the background.

[0102] It can be seen that implementing the eye device identity verification method described in the embodiment of the present invention is conducive to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving verification efficiency to achieve highly flexible and confidential identity authentication and authorization.

[0103] Embodiment 2

[0104] See also Figure 2 , Figure 2 : is a schematic diagram of the structure of an eye device identity verification device disclosed in an embodiment of the present invention. Figure 2 The described device can be applied to a warehouse management system, such as a local server or cloud server for warehouse logistics equipment identity verification management, etc., and the embodiments of the present invention are not limited thereto. Figure 2 As shown, the device may include:

[0105] An acquisition module 201 is used to acquire eye device image information;

[0106] The first processing module 202 is used to perform image processing on the eye device image information to obtain target image area information; the target image area information includes first target area information and second target area information;

[0107] The second processing module 203 is used to perform verification processing on the target image area information to obtain target identity verification result information.

[0108] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0109] In another optional embodiment, Figure 2 As shown, the first processing module 202 performs image processing on the eye device image information to obtain target image area information, including:

[0110] Pre-processing the image information of the eye device to obtain initial image processing information;

[0111] Perform image detection processing on the initial image information to obtain the target image area information.

[0112] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0113] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 pre-processes the eye device image information to obtain initial image processing information, including:

[0114] Performing noise reduction processing on the image information of the eye device to obtain noise reduction image processing information;

[0115] Performing image enhancement processing on the noise reduction image processing information to obtain enhanced image processing information;

[0116] The enhanced image processing information is binarized using a first binary threshold to obtain initial image processing information; the first binary threshold is a positive integer between [100, 150].

[0117] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0118] In yet another optional embodiment, Figure 2 As shown, the first processing module 202 performs image detection processing on the initial image information to obtain target image area information, including:

[0119] Performing region division on the initial image information to obtain initial image region information; the initial image region information includes M first image region information; M is an even number greater than 2; each first image region information corresponds to a sector angle interval;

[0120] For any first image region information in the initial image region information, perform contour recognition processing on the first image region information to obtain initial contour information corresponding to the first image region information;

[0121] Performing filtering and screening processing on the initial contour information corresponding to the first image region information to obtain screened contour information corresponding to the first image region information;

[0122] Performing contour fitting processing on the screening contour information corresponding to the first image region information to obtain target contour region information corresponding to the first image region information;

[0123] Determine whether the overlap between the fan-shaped angle interval corresponding to the target contour area information and the first target angle interval is greater than or equal to a first overlap threshold, and obtain a first overlap determination result;

[0124] When the first coincidence judgment result is yes, determining the target contour area information as the first target area information;

[0125] When the first coincidence judgment result is no, determine whether the coincidence degree between the fan-shaped angle interval corresponding to the target contour area information and the second target angle interval is greater than or equal to a second coincidence degree threshold, and obtain a second coincidence judgment result;

[0126] When the second coincidence judgment result is yes, determining the target contour area information as the second target area information;

[0127] When the second coincidence judgment result is no, the judgment process corresponding to the second coincidence judgment result is terminated.

[0128] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0129] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 performs verification processing on the target image area information to obtain target identity verification result information, including:

[0130] Performing feature recognition processing on the first target area information to obtain first target feature information;

[0131] Performing feature recognition processing on the second target area information to obtain second target feature information;

[0132] The first target feature information and the second target feature information are verified to obtain target identity verification result information.

[0133] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0134] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 performs feature recognition processing on the first target area information to obtain first target feature information, including:

[0135] Performing positioning and identification processing on the first target area information to obtain positioning target area information; the first target area information includes three positioning area image information and one direction area image information; the three positioning area image information are used for positioning and identification; and the one direction area image information is used for direction adjustment;

[0136] Directionally adjusting the positioning target area information to obtain direction target area information;

[0137] Extracting data from the directional target area information to obtain extracted feature data information;

[0138] Performing error correction processing on the extracted characteristic data information to obtain corrected characteristic data information;

[0139] The correction feature data information is binary-converted to obtain the first target feature information.

[0140] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0141] In yet another optional embodiment, Figure 2 As shown, the second processing module 203 performs verification processing on the first target feature information and the second target feature information to obtain target identity verification result information, including:

[0142] Using the verification model, the first target feature information and the second target feature information are calculated and processed to obtain a feature verification value;

[0143] The verification model is:

[0144]

[0145] Where A is the characteristic verification value; X a is the ath first target feature value information in the first target feature information; Y a is the ath second target feature value information in the ath target feature information; B is the number of target feature value information;

[0146] Determine whether the characteristic verification value is greater than or equal to the verification threshold, and obtain the verification judgment result;

[0147] When the verification judgment result is yes, determining that the target identity verification result information is consistent with the identity verification information;

[0148] When the verification judgment result is no, it is determined that the target identity verification result information is inconsistent with the identity verification information.

[0149] It can be seen that the implementation Figure 2 The described eye device identity verification device is beneficial to improving the flexibility and accuracy of eye device identity verification, while simplifying the verification process and improving the verification efficiency, so as to achieve highly flexible and confidential identity authentication and authorization.

[0150] Embodiment 3

[0151] See also Figure 3 , Figure 3 is a schematic diagram of the structure of another eye device identity verification device disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to a warehouse management system, such as a local server or cloud server for warehouse logistics equipment identity verification management, etc., and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device may include:

[0152] A memory 301 storing executable program codes;

[0153] a processor 302 coupled to the memory 301;

[0154] The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the eye device identity verification method described in the first embodiment.

[0155] Embodiment 4

[0156] An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the eye device identity verification method described in the first embodiment.

[0157] Embodiment 5

[0158] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the eye device identity verification method described in Embodiment 1.

[0159] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0160] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0161] Finally, it should be noted that the eye device identity verification method and apparatus disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for verifying the identity of an eye device, characterized in that: The method comprises: Obtaining eye device image information; Performing image processing on the eye device image information to obtain target image area information; the target image area information includes first target area information and second target area information; The target image area information is verified to obtain target identity verification result information.

2. The eye device identity verification method according to claim 1, characterized in that: The performing image processing on the eye device image information to obtain target image area information includes: Pre-processing the eye device image information to obtain initial image processing information; Perform image detection processing on the initial image information to obtain target image area information.

3. The eye device identity verification method according to claim 2, characterized in that: The pre-processing of the eye device image information to obtain initial image processing information includes: Performing noise reduction processing on the eye device image information to obtain noise reduction image processing information; Performing image enhancement processing on the noise reduction image processing information to obtain enhanced image processing information; The enhanced image processing information is binarized using a first binary threshold to obtain initial image processing information; the first binary threshold is a positive integer between [100, 150].

4. The eye device identity verification method according to claim 2, characterized in that: The performing image detection processing on the initial image information to obtain target image area information includes: Performing region division on the initial image information to obtain initial image region information; the initial image region information includes M first image region information; M is an even number greater than 2; each first image region information corresponds to a sector angle interval; For any of the first image region information in the initial image region information, performing contour recognition processing on the first image region information to obtain initial contour information corresponding to the first image region information; Performing filtering and screening processing on the initial contour information corresponding to the first image region information to obtain screened contour information corresponding to the first image region information; Performing contour fitting processing on the screening contour information corresponding to the first image region information to obtain target contour region information corresponding to the first image region information; Determine whether the overlap between the fan-shaped angle interval corresponding to the target contour area information and the first target angle interval is greater than or equal to a first overlap threshold, and obtain a first overlap determination result; When the first coincidence judgment result is yes, determining the target contour area information as the first target area information; When the first overlap judgment result is no, determining whether the overlap degree between the fan-shaped angle interval corresponding to the target contour area information and the second target angle interval is greater than or equal to a second overlap threshold, and obtaining a second overlap judgment result; When the second coincidence judgment result is yes, determining the target contour area information as the second target area information; When the second coincidence judgment result is no, the judgment process corresponding to the second coincidence judgment result is terminated.

5. The eye device identity verification method according to claim 1, characterized in that: The verifying process of the target image area information to obtain target identity verification result information includes: Performing feature recognition processing on the first target area information to obtain first target feature information; Performing feature recognition processing on the second target area information to obtain second target feature information; The first target feature information and the second target feature information are verified to obtain target identity verification result information.

6. The eye device identity verification method according to claim 5, characterized in that: The performing feature recognition processing on the first target area information to obtain first target feature information includes: Performing positioning and identification processing on the first target area information to obtain positioning target area information; the first target area information includes three positioning area image information and one direction area image information; the three positioning area image information are used for positioning and identification; the one direction area image information is used for direction adjustment; Directionally adjusting the positioning target area information to obtain direction target area information; Extracting data from the target area information in the direction to obtain extracted feature data information; Performing error correction processing on the extracted characteristic data information to obtain corrected characteristic data information; The correction feature data information is binary-converted to obtain first target feature information.

7. The eye device identity verification method according to claim 5, characterized in that: The verifying the first target feature information and the second target feature information to obtain target identity verification result information includes: Using a verification model to calculate and process the first target feature information and the second target feature information to obtain a feature verification value; Wherein, the verification model is: Where A is the characteristic verification value; X a is the ath first target feature value information in the first target feature information; Y a is the ath second target feature value information in the ath target feature information; B is the number of target feature value information; Determine whether the characteristic verification value is greater than or equal to a verification threshold, and obtain a verification judgment result; When the verification judgment result is yes, determining that the target identity verification result information is consistent with the identity verification information; When the verification judgment result is no, it is determined that the target identity verification result information is inconsistent with the identity verification information.

8. An eye device identity verification device, characterized in that: The device comprises: An acquisition module, used for acquiring image information of an eye device; A first processing module, configured to perform image processing on the eye device image information to obtain target image area information; the target image area information includes first target area information and second target area information; The second processing module is used to verify the target image area information to obtain target identity verification result information.

9. An eye device identity verification device, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the eye device identity verification method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, which, when called, are used to execute the eye device identity verification method as described in any one of claims 1-7.

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