CN112036894B - Method and system for identity confirmation by utilizing iris characteristics and action characteristics - Google Patents
Method and system for identity confirmation by utilizing iris characteristics and action characteristics Download PDFInfo
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- G06Q20/401—Transaction verification
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Abstract
The application provides a method and a system for identity confirmation by utilizing iris characteristics and action characteristics, wherein the method comprises the following steps: collecting user information, iris image characteristics and authorized payment action characteristics; establishing an iris recognition total database according to the user file; performing database separation processing, and establishing iris database separation corresponding to each preset action characteristic; when a payment request initiated by a user is received, acquiring iris images and hand actions of the user in real time; judging whether the hand motion is matched with a preset motion characteristic or not; if the matching is passed, searching a user file in an iris database corresponding to the preset action characteristic; if the hand actions which are not passed or not collected are matched, searching a user file in an iris recognition total database; identifying and comparing the iris image of the user with the iris image characteristics in the user file; if the comparison is passed, judging that the user identity confirmation is successful, processing the payment request and recording the payment request to a transaction log; if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
Description
Technical Field
The application relates to the technical field of payment, in particular to a method and a system for identity confirmation by utilizing iris characteristics and action characteristics.
Background
Currently, the payment method of the biological identification has two advantages of convenience and safety, and is welcomed by young groups. Investigation shows that about 65% of users will use the input password model for verification, but about 75% of young population will choose fingerprint recognition, voiceprint recognition, face-brushing payment and other modes after nine zeros and after zero zeros. Iris recognition is a new generation of biological recognition, and has a huge application market in the future.
At present, each bank has a huge number of customer groups, and in the case of China's silver behavior, the total number of customers is more than 4 hundred million, and if a single iris feature is adopted, 1 is realized in iris payment: n is required to search a unique iris feature in a database base of 4 hundred million, identify customer information, and perform a payment transaction. This 1: n (N >4 hundred million) database retrieval efficiency is low, meanwhile, the image quality requirement on-site iris feature extraction is very high, the rejection rate is always high, multiple image acquisition is often required, multiple attempts are required by clients, and the execution efficiency of iris payment is reduced. In addition, the biometric feature of the current market is usually required to be 6 digits after the user inputs the mobile phone number or input the payment password as a verification means of payment, and the mobile phone number or the payment password is used for carrying out the library separation. However, due to epidemic reasons, some customers are not willing to touch the front end to input the mobile phone number, and the infection is possible. Secondly, the mobile phone number or the personal password is input for a plurality of times, so that the transaction flow is complicated.
Therefore, a technical solution for improving the execution efficiency of iris payment is needed to overcome the above-mentioned problems.
Disclosure of Invention
In order to overcome the problems in the prior art, the application provides a method and a system for identity confirmation by utilizing iris characteristics and action characteristics, wherein in the iris payment process, the method and the system identify gestures of a client, and separate library processing is carried out on client iris data of different gestures, so that 1: n database search number. As shown in FIG. 3, the application can support at least 14 kinds of gesture registration, and after the registration, the registration can be divided into N/14 according to the gestures of a client, so that 1: n is reduced by at least one order of magnitude. Such that the base of the base is reduced by at least one order of magnitude when retrieving the customer iris features. When the customer is found to do the following payment actions by hand, the gesture data of the customer are identified, and the iris characteristics are searched in the iris database. Therefore, the searching speed of the iris characteristics can be improved, and if a customer does not make a payment action, the iris characteristics can be searched in a 4 hundred million large library, so that the normal operation of the user transaction is ensured.
In a first aspect of the embodiment of the present application, a method for identity confirmation using iris features and motion features is provided, the method comprising:
collecting user information, iris image characteristics and authorized payment action characteristics, and establishing a user file;
establishing an iris recognition total database according to the user file;
performing database dividing processing on the iris recognition total database according to preset action characteristics, and establishing iris database dividing corresponding to each preset action characteristic;
storing a corresponding user file into an iris database of preset action characteristics corresponding to the authorized payment action characteristics according to the authorized payment action characteristics;
when a payment request initiated by a user is received, acquiring iris images and hand actions of the user in real time;
judging whether the hand motion is matched with a preset motion feature or not; wherein,,
if the matching is passed, searching a user file in the iris database corresponding to the preset action characteristic;
if the hand actions which are not passed or not collected are matched, searching a user file in the iris recognition total database;
identifying and comparing the iris image of the user with the iris image characteristics in the user file;
if the comparison is passed, judging that the user identity confirmation is successful, processing the payment request and recording the payment request to a transaction log;
if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
In a second aspect of the embodiments of the present application, a system for identity verification using iris features and motion features is provided, the system comprising:
the information acquisition module is used for acquiring user information, iris image characteristics and authorized payment action characteristics and establishing a user file;
the total database building module is used for building an iris recognition total database according to the user files;
the database dividing processing module is used for dividing the iris recognition total database into database dividing processing according to preset action characteristics and establishing iris database dividing corresponding to each preset action characteristic;
the user archive database module is used for storing the corresponding user archive into an iris database of preset action characteristics corresponding to the authorized payment action characteristics according to the authorized payment action characteristics;
the payment request initiating module is used for acquiring iris images and hand actions of a user in real time when receiving a payment request initiated by the user;
the hand motion judging module is used for judging whether the hand motion is matched with a preset motion characteristic or not;
if the matching is passed, a database searching module is called, and the user file is searched in the iris database corresponding to the preset action characteristic;
if the hand actions which are not passed or not collected are matched, a total library searching module is called, and a user file is searched in the iris recognition total database;
the iris recognition comparison module is used for carrying out recognition comparison according to the iris image of the user and the iris image characteristics in the user file;
if the comparison is passed, judging that the user identity confirmation is successful, calling a payment processing module, processing the payment request and recording the payment request to a transaction log;
if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
In a third aspect of the embodiments of the present application, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing a method for identity verification using iris features and motion features when executing the computer program.
In a fourth aspect of the embodiments of the present application, a computer readable storage medium is provided, where a computer program is stored, which when executed by a processor implements a method for identity verification using iris features and motion features.
The method and the system for identity confirmation by utilizing the iris characteristics and the action characteristics can collect iris information and hand actions of a user at the same time, and can be used as the identity confirmation information of a payment request, so that the user can finish identity confirmation and payment confirmation under the condition of no contact; in the processing process, the iris data of the clients with different gestures are subjected to the database separation processing, and the iris images of the clients are searched in the database through the gesture information, so that the search amount of the database is greatly reduced, and the search rate is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for identity verification using iris features and motion features according to an embodiment of the application.
FIG. 2 is a flow chart of a method for identity verification using iris features and motion features according to an embodiment of the application.
FIG. 3 is a schematic gesture diagram of an embodiment of the present application.
FIG. 4 is a schematic diagram of a system architecture for identity verification using iris features and motion features according to an embodiment of the application.
FIG. 5 is a schematic diagram of a system architecture for identity verification using iris features and motion features according to an embodiment of the application.
FIG. 6 is a schematic diagram of a computer device according to an embodiment of the application.
Detailed Description
The principles and spirit of the present application will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable those skilled in the art to better understand and practice the application and are not intended to limit the scope of the application in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Those skilled in the art will appreciate that embodiments of the application may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the application, a method and a system for identity confirmation by utilizing iris characteristics and action characteristics are provided. In the iris payment process, the method and the system recognize the gestures of the client, and perform database separation processing on the client iris data of different gestures, so that 1: n database search number. As shown in FIG. 3, the application can support at least 14 kinds of gesture registration, and after the registration, the registration can be divided into N/14 according to the gestures of a client, so that 1: n is reduced by at least one order of magnitude. Such that the base of the base is reduced by at least one order of magnitude when retrieving the customer iris features. When the customer is found to do the following payment actions by hand, the gesture data of the customer are identified, and the iris characteristics are searched in the iris database. Therefore, the searching speed of the iris characteristics can be improved, and if a customer does not make a payment action, the iris characteristics can be searched in a 4 hundred million large library, so that the normal operation of the user transaction is ensured.
In the embodiments of the present application, terms to be described are as follows:
iris recognition: the iris is a circular area positioned between the black pupil and the white sclera on the surface of the human eye, is a visible part of the human eye, and presents abundant texture information under infrared light, such as detailed characteristics of spots, stripes, filaments, crowns, recesses and the like; the iris in the eye has the characteristics of uniqueness, stability, bioactivity, non-contact property and anti-counterfeiting property, so that the iris can be used as an identification object.
Iris payment: iris payment refers to a payment means using iris recognition as a customer identification.
The principles and spirit of the present application are explained in detail below with reference to several representative embodiments thereof.
FIG. 1 is a flowchart of a method for identity verification using iris features and motion features according to an embodiment of the application. As shown in fig. 1, the method includes:
step S101, collecting user information, iris image characteristics and authorized payment action characteristics, and establishing a user file;
step S102, establishing an iris recognition total database according to a user file;
step S103, performing database separation processing on the iris recognition total database according to preset action characteristics, and establishing an iris database corresponding to each preset action characteristic;
step S104, according to the authorized payment action characteristics, storing the corresponding user file into an iris database of preset action characteristics corresponding to the authorized payment action characteristics;
step S105, when a payment request initiated by a user is received, iris images and hand actions of the user are acquired in real time;
step S106, judging whether the hand motion is matched with a preset motion feature; wherein,,
if the matching is passed, executing step S107, and searching the user file in the iris database corresponding to the preset action characteristic;
if the hand motion is not passed or not acquired, executing step S108, and searching the user file in the iris recognition total database;
step S109, identifying and comparing the iris image of the user with the iris image characteristics in the user file;
step S110, if the comparison is passed, the user identity confirmation is judged to be successful, the payment request is processed and recorded to a transaction log;
and step S111, if the comparison is not passed, returning to the user side to prompt the re-acquisition of the iris image.
In order to more clearly explain the above method for identity verification using iris features and motion features, a specific embodiment will be described below.
Referring to fig. 2, a flowchart of a method for identity verification using iris features and motion features according to an embodiment of the application is shown. As shown in fig. 2, the specific flow is as follows:
step S201:
collecting user information, iris image characteristics and authorized payment action characteristics, and establishing a user file;
the user information may include key information such as account information and identity information.
In an actual application scene, after the user is asked to perform the hand action of transaction authorization for 3 times, the action recognition is compared with the model, and the gesture action number with the highest confidence (matching degree) is bound with the iris information of the user.
Step S202:
establishing an iris recognition total database according to the user file;
taking 4 hundred million users as an example, in the subsequent steps, if no gesture information of the users is collected, a general library 1 is adopted: n (N is 4 hundred million) is used for searching iris image characteristics, and the mode is low in efficiency and high in rejection rate.
Step S203:
setting a plurality of preset action features, wherein each preset action feature corresponds to one hand action;
fig. 3 is a schematic diagram illustrating a preset action feature according to an embodiment of the application. The gestures adopted by each action feature are different, and each gesture can be numbered.
Step S204:
and performing database separation processing on the iris recognition total database according to preset action characteristics, and establishing iris database separation corresponding to each preset action characteristic.
Step S205:
storing a corresponding user file into an iris database of preset action characteristics corresponding to the authorized payment action characteristics according to the authorized payment action characteristics;
taking 4 hundred million users as an example, in the subsequent iris searching step, if user gesture information is collected, an iris database 1 corresponding to the user gesture may be adopted: n (N is about 3 tens of millions) is used for searching iris image characteristics; about 3 tens of millions of this is obtained by dividing 4 hundred million by 14. Compared with the searching in 4 hundred million data, the searching data quantity (3 million) after database separation is obviously reduced, the efficiency is greatly improved, and the rejection rate is low.
For the user files of the general warehouse and the sub-warehouse, functions of adding, deleting, modifying, checking and the like can be performed according to the needs of users.
Step S206:
and constructing a corresponding hand motion recognition model according to each preset motion characteristic.
The model can be trained based on the principle of deep learning according to pictures of different human hand actions, and accuracy of hand action judgment is improved.
Step S207:
and when a payment request initiated by a user is received, acquiring iris images and hand actions of the user in real time.
In an actual application scene, the customer can be prompted to increase hand action recognition as a means of payment confirmation while collecting iris characteristics of the customer, and the method is similar to a password of a traditional transaction; here, the hand motion is not essential information, and if the hand motion is not acquired, the subsequent iris recognition may be performed while step S210 is performed.
The iris image features can be acquired by adopting an RK3388 ARM development board integrated liquid crystal display interface, an infrared camera and the like. The devices can use the target tracking function, and when the human body is detected and the patterns such as the head, the face and the like are included, the eye patterns are intercepted according to the eye characteristics, and the iris image with higher definition is obtained.
The front-end iris acquisition equipment can be optimized, when a user has any acquisition condition, the iris acquisition function can be triggered, and the optimal iris image is reserved as a transaction initiation preparation by utilizing an image processing technology.
Step S208:
judging whether the hand motion is matched with a preset motion feature or not by using the hand motion recognition model; if the match is passed, step S209 is performed; if the hand motion is not passed or not acquired, S210 is performed.
Step S209:
if the matching is passed, searching a user file in the iris database corresponding to the preset action characteristic; meanwhile, the hand motion recognition model corresponding to the preset motion characteristics can be trained by using the deep learning method, and the trained hand motion recognition model is generated.
Because the user can adopt the gesture information as the action feature, the system can judge which iris database to search the iris image feature of the user based on the gesture information when the gesture information displayed when the user initiates the payment request is acquired, so that compared with the step S210 of searching in the total database, the searching amount can be reduced by one order of magnitude, and the searching efficiency is improved.
The application adopts a deep learning method, can collect pictures of different human hand movements, constructs a model for hand pattern recognition, and can classify and number each movement pattern.
Step S210:
if the hand actions which are not passed or not collected are matched, the user file is searched in the iris recognition total database.
In the actual application scenario, if the conditions of inconsistency (failed matching) occur, transaction information can be returned to the front-end equipment to prompt that the authorization gesture is inconsistent, and the user requests to authorize again.
Step S211:
identifying and comparing the iris image of the user with the iris image characteristics in the user file; if the comparison is passed, executing step S212; if the comparison is not passed, step S214 is performed.
Step S212:
if the comparison is passed, judging that the user identity confirmation is successful, processing the payment request and recording the payment request to a transaction log;
step S213:
and recording an action image of payment authorized by the user at the transaction site, wherein the action image can be used as transaction authorization evidence.
Customer transaction sequence, live photo and action image can be kept as transaction log.
Step S214:
if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
The method for identity confirmation by utilizing the iris characteristics and the action characteristics adds a key link for hand action identification in the process of processing the payment request, identifies the hand action, indicates that the user approves the iris payment transaction, reserves the site photo of the client, and can be used as a transaction authorization evidence when the client and the bank generate transaction disputes.
It should be noted that although the operations of the method of the present application are described in a particular order in the above embodiments and the accompanying drawings, this does not require or imply that the operations must be performed in the particular order or that all of the illustrated operations be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
Having described the method of an exemplary embodiment of the present application, a system for identity verification using iris features and motion features of an exemplary embodiment of the present application is described next with reference to fig. 4.
The implementation of the system for identity verification by using iris features and action features can be referred to the implementation of the above method, and the repetition is not repeated. The term "module" or "unit" as used below may be a combination of software and/or hardware that implements the intended function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Based on the same inventive concept, the application also provides a system for identity confirmation by utilizing iris characteristics and action characteristics, as shown in fig. 4, the system comprises:
the information acquisition module 401 is used for acquiring user information, iris image characteristics and authorized payment action characteristics, and establishing a user file;
a total database establishing module 402, configured to establish an iris recognition total database according to the user profile;
the database dividing processing module 403 performs database dividing processing on the iris recognition total database according to preset action characteristics, and establishes iris database dividing corresponding to each preset action characteristic;
the user profile repository module 404 is configured to store, according to the authorized payment action feature, a corresponding user profile into an iris repository of preset action features corresponding to the authorized payment action feature;
the payment request initiating module 405 is configured to collect iris images and hand actions of a user in real time when a payment request initiated by the user is received;
a hand motion judging module 406, configured to judge whether the hand motion is matched with a preset motion feature;
if the matching is passed, a database searching module 407 is called, and the user file is searched in the iris database corresponding to the preset action characteristic;
if the hand actions which are not passed or not collected are matched, a total library searching module 408 is called, and a user file is searched in the iris recognition total database;
the iris recognition comparison module 409 is configured to perform recognition comparison according to the iris image of the user and the iris image features in the user file;
if the comparison is passed, judging that the user identity confirmation is successful, calling a payment processing module 410, processing the payment request and recording the payment request to a transaction log;
if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
In an embodiment, the repository-splitting processing module 403 is further configured to:
setting a plurality of preset action features, wherein each preset action feature corresponds to one hand action.
Further, referring to fig. 5, a system architecture diagram of identity verification using iris features and motion features according to an embodiment of the application is shown. As shown in fig. 5, the system further includes:
the hand motion recognition model construction module 411 is configured to construct a corresponding hand motion recognition model according to each preset motion feature.
Correspondingly, the hand motion judging module 406 is specifically configured to:
judging whether the hand motion is matched with a preset motion feature or not by using the hand motion recognition model;
and if the matching is passed, training a hand motion recognition model corresponding to the preset motion characteristics by using a deep learning method, and generating a trained hand motion recognition model.
Further, referring to fig. 5, the system further includes:
a log recording module 412 for recording a log;
the image recording module 413 is used for recording action images of payment authorized by the user at the transaction site.
It should be noted that while several modules of a system for identity verification using iris features and motion features are mentioned in the detailed description above, such a division is merely exemplary and not mandatory. Indeed, the features and functions of two or more modules described above may be embodied in one module in accordance with embodiments of the present application. Conversely, the features and functions of one module described above may be further divided into a plurality of modules to be embodied.
Based on the foregoing inventive concept, as shown in fig. 6, the present application further proposes a computer device 600, including a memory 610, a processor 620, and a computer program 630 stored in the memory 610 and capable of running on the processor 620, where the processor 620 implements the foregoing method for identity confirmation using iris features and motion features when executing the computer program 630.
Based on the foregoing inventive concept, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements the method for identity confirmation using iris features and motion features described above.
The method and the system for identity confirmation by utilizing the iris characteristics and the action characteristics can collect iris information and hand actions of a user at the same time, and can be used as the identity confirmation information of a payment request, so that the user can finish identity confirmation and payment confirmation under the condition of no contact; in the processing process, the iris data of the clients with different gestures are subjected to the database separation processing, and the iris images of the clients are searched in the database through the gesture information, so that the search amount of the database is greatly reduced, and the search rate is improved.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above examples are only specific embodiments of the present application, and are not intended to limit the scope of the present application, but it should be understood by those skilled in the art that the present application is not limited thereto, and that the present application is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for identity verification using iris features and motion features, the method comprising:
collecting user information, iris image characteristics and authorized payment action characteristics, and establishing a user file;
establishing an iris recognition total database according to the user file;
performing database dividing processing on the iris recognition total database according to preset action characteristics, and establishing iris database dividing corresponding to each preset action characteristic; wherein, still include: setting a plurality of preset action features, wherein each preset action feature corresponds to one hand action;
storing a corresponding user file into an iris database of preset action characteristics corresponding to the authorized payment action characteristics according to the authorized payment action characteristics;
when a payment request initiated by a user is received, acquiring iris images and hand actions of the user in real time;
judging whether the hand motion is matched with a preset motion feature or not; wherein,,
if the matching is passed, searching a user file in the iris database corresponding to the preset action characteristic;
if the hand actions which are not passed or not collected are matched, searching a user file in the iris recognition total database;
identifying and comparing the iris image of the user with the iris image characteristics in the user file;
if the comparison is passed, judging that the user identity confirmation is successful, processing the payment request and recording the payment request to a transaction log;
if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
2. The method for identity verification using iris features and motion features of claim 1, further comprising:
and constructing a corresponding hand motion recognition model according to each preset motion characteristic.
3. The method for identity verification using iris features and motion features of claim 2, wherein determining whether the hand motion matches a preset motion feature comprises:
judging whether the hand motion is matched with a preset motion feature or not by using the hand motion recognition model;
and if the matching is passed, training a hand motion recognition model corresponding to the preset motion characteristics by using a deep learning method, and generating a trained hand motion recognition model.
4. The method for identity verification using iris features and motion features of claim 1 wherein if the comparison is passed, determining that the user identity verification is successful, processing the payment request and recording to a transaction log, further comprising:
and recording action images of payment authorized by the user at the transaction site.
5. A system for identity verification using iris features and motion features, the system comprising:
the information acquisition module is used for acquiring user information, iris image characteristics and authorized payment action characteristics and establishing a user file;
the total database building module is used for building an iris recognition total database according to the user files;
the database dividing processing module is used for dividing the iris recognition total database according to preset action characteristics and establishing iris database dividing corresponding to each preset action characteristic; the database separation processing module is specifically used for setting a plurality of preset action characteristics, and each preset action characteristic corresponds to one hand action;
the user archive database module is used for storing the corresponding user archive into an iris database of preset action characteristics corresponding to the authorized payment action characteristics according to the authorized payment action characteristics;
the payment request initiating module is used for acquiring iris images and hand actions of a user in real time when receiving a payment request initiated by the user;
the hand motion judging module is used for judging whether the hand motion is matched with a preset motion characteristic or not;
if the matching is passed, a database searching module is called, and the user file is searched in the iris database corresponding to the preset action characteristic;
if the hand actions which are not passed or not collected are matched, a total library searching module is called, and a user file is searched in the iris recognition total database;
the iris recognition comparison module is used for carrying out recognition comparison according to the iris image of the user and the iris image characteristics in the user file;
if the comparison is passed, judging that the user identity confirmation is successful, calling a payment processing module, processing the payment request and recording the payment request to a transaction log;
if the comparison is not passed, returning to the user side to prompt the iris image to be collected again.
6. The system for identity verification utilizing iris features and motion features of claim 5, further comprising:
the hand motion recognition model construction module is used for constructing a corresponding hand motion recognition model according to each preset motion characteristic.
7. The system for identity verification using iris features and motion features of claim 6, wherein the hand motion determination module is specifically configured to:
judging whether the hand motion is matched with a preset motion feature or not by using the hand motion recognition model;
and if the matching is passed, training a hand motion recognition model corresponding to the preset motion characteristics by using a deep learning method, and generating a trained hand motion recognition model.
8. The system for identity verification utilizing iris features and motion features of claim 5, further comprising:
the log recording module is used for recording logs;
and the image recording module is used for recording action images of payment authorized by the user on the transaction site.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 4 when executing the computer program.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method of any of claims 1 to 4.
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| CN113259867A (en) * | 2021-05-18 | 2021-08-13 | 中国银行股份有限公司 | Method and system for carrying out 5G message payment verification by utilizing iris image verification |
| CN113221088B (en) * | 2021-06-15 | 2022-08-19 | 中国银行股份有限公司 | User identity identification method and device |
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