CN109376725B - Identity verification method and device based on iris recognition - Google Patents
Identity verification method and device based on iris recognition Download PDFInfo
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Abstract
The invention discloses an identity checking method and device based on iris recognition, which comprises the following steps: collecting user identity information and matching with all identity information stored in a database; and when the matching is successful, the iris information of the user is acquired and matched with the iris information stored in the database, if the iris information fails to be matched for many times, an alarm is given and alarm information is uploaded to a cloud server, and if the iris information is successfully matched, the identity information of the user is normally displayed. The invention uses the identity medium, the iris recognition technology and the face recognition technology in a matching way, accurately discriminates the true identities of various personnel, avoids the security loophole existing in a single checking mode, thoroughly avoids the illegal problems of forging the identity document, falsifying the identity document of other people and the like, successfully solves the problem that the existing iris recognition technology can not be applied to the pain point of large-scale crowd identity checking under the condition of no large-scale database, and improves the security level of the system.
Description
Technical Field
The invention relates to the field of personnel identity verification. And more particularly, to an identity verification method and apparatus based on iris recognition.
Background
With the increasing development of society, the flow of people is more and more frequent, and it becomes more and more important to accurately identify the real identities of various people, especially in the fields of public security and anti-terrorism.
At present, in the field of public security, an identity card is the most common and traditional identity checking means, but various problems such as identity card counterfeiting and serious inconsistency between a person and an identity card photo due to early transaction time exist. For the above reasons, the identification card already contains the fingerprint and face information of the person, and biometric means such as fingerprint recognition and face recognition are also used to check the identity of the person. But the fingerprint identification has security holes such as fingerprint abrasion, fingerprint film imitation and the like; the face recognition has the influence of factors such as daily makeup, face-lifting and the like, and the recognition rate is not high.
The iris identification technology overcomes the defects of other biological identification technologies by inherent characteristics of accuracy, non-contact, living body detection and the like, and has the advantages of the other biological identification technologies and higher accuracy. Therefore, the iris identification technology is adopted to identify the identities of various personnel, and the true identities of various personnel can be accurately discriminated. However, because a large-scale iris database is not established at present, the application of the iris identification technology in the identity verification in the public security field is limited.
Therefore, it is desirable to provide an identity verification method and apparatus based on iris recognition.
Disclosure of Invention
The invention aims to provide an identity checking method and device based on iris recognition, which can realize accurate recognition of various personnel identities, solve the problems of low accuracy, errors in manual verification and the like of the conventional identity checking system and thoroughly avoid illegal problems of counterfeiting identity documents, falsifying other person documents and the like.
In order to achieve the purpose, the invention adopts the following technical scheme:
an identity verification method based on iris recognition comprises the following steps:
collecting user identity information and matching with all identity information stored in a database;
and when the matching is successful, the iris information of the user is acquired and matched with the iris information stored in the database, if the iris information fails to be matched for many times, an alarm is given and alarm information is uploaded to a cloud server, and if the iris information is successfully matched, the identity information of the user is normally displayed.
Further, the method further comprises: when the collected identity information of the user cannot be matched with any identity information stored in the database:
the iris information of the user is collected and matched with all the iris information stored in the database, and if the matching is successful, an alarm is given and alarm information is uploaded to a cloud server;
and if the matching fails, registering the user according to the acquired information and uploading the user to the cloud server.
Further, the step of registering the user according to the collected information and uploading the user to the cloud server when the matching fails comprises:
when matching fails, acquiring face information of a user, carrying out face recognition with the acquired photos of the identity information, if matching succeeds, storing the acquired identity information, iris information and face information into a database, establishing a file of the person, and uploading the file to a cloud server for updating;
and if the face information is not matched with the identity information, alarming.
Further, the normally displaying the identity information of the user if the matching is successful includes:
and when the matching is successful, matching the identity information of the collector with the identity information corresponding to the person who successfully matches the iris information in the database, if the matching is failed, giving an alarm and uploading alarm information to a cloud server, and if the matching is successful, normally displaying the identity information of the user.
Further, the method further comprises:
the cloud server receives and processes the locally uploaded acquisition information and identification records, generates the activity track information of the user, compares the activity track information with a preset early warning condition threshold value, and gives an alarm when at least one early warning condition reaches the alarm threshold value and feeds an alarm signal back to the local for giving an alarm.
The invention also discloses an identity checking device based on iris recognition, which comprises:
a radio frequency identification module: the system is used for collecting user identity information;
an image acquisition module: the iris collecting device is used for collecting iris information of a user;
a central processing module: the system is used for matching the acquired user identity information with all identity information stored in the database, matching the acquired user iris information with the iris information stored in the database when the matching is successful, controlling the alarm module to give an alarm and uploading alarm information to the cloud server if the iris information fails to be matched for many times, and normally displaying the identity information of the user through the display module if the iris information matching is successful.
Further, the central processing module is further configured to:
when the collected identity information of the user cannot be matched with any identity information stored in the database:
controlling the image acquisition module to acquire iris information of a user, matching the iris information with all iris information stored in a database, and alarming and uploading alarm information to a cloud server if matching is successful;
and if the matching fails, registering the user according to the acquired information and uploading the user to the cloud server.
Further, the central processing module is further configured to:
when the matching of the iris information fails, controlling an image acquisition module to acquire face information of a user, carrying out face identification on the face information and the acquired picture of the identity information, if the matching is successful, storing the acquired identity information, the iris information and the face information into a database, establishing a file of the person, and uploading the file to a cloud server for updating;
and if the face information is not matched with the identity information, alarming.
Further, the central processing module is further configured to:
and when the matching of the iris information is successful, matching the identity information of the collector with the identity information corresponding to the person who successfully matches the iris information in the database, if the matching is failed, giving an alarm and uploading alarm information to a cloud server, and if the matching is successful, normally displaying the identity information of the user.
Further, the cloud server comprises:
a communication module: the system is used for receiving and processing the locally uploaded acquisition information and identification records;
a data mining module: the early warning device is used for generating the activity track information of the user according to the received information and comparing the activity track information with a preset early warning condition threshold value;
the early warning module: the early warning device is used for setting early warning conditions and giving an alarm if at least one early warning condition reaches an alarm threshold value;
a data synchronization module: the system is used for synchronizing the uploaded information to a local database, and when the early warning module gives an alarm, the synchronous local alarm module gives an alarm.
The invention has the following beneficial effects:
the technical scheme of the invention has the following effects:
1. the identity verification platform constructed based on the iris recognition technology can accurately discriminate the true identities of various personnel, avoids security holes existing in verification modes such as single identity cards, fingerprints and human faces, and thoroughly avoids illegal problems such as identity document counterfeiting and falsifying other identity documents.
2. The invention establishes the iris database of large-scale crowd while checking through the matching use of the identity medium, the iris recognition technology and the face recognition technology, ensures the consistency of people, cards and iris information in the establishing process, and successfully solves the problem that the existing iris recognition technology cannot be applied to the pain point in the field of large-scale crowd identity checking under the condition of no large-scale database.
3. The identity checking platform constructed by the invention can not only give an alarm in real time, but also realize early warning by mining and analyzing a large amount of identification data, and promote the 'alarm in the middle of or after the affair' to 'early warning in advance', thereby promoting the safety level of the system.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings;
fig. 1 is a flowchart of an identity verification method based on iris recognition according to an embodiment of the present invention;
fig. 2 is a network topology diagram of an iris recognition apparatus and a cloud server according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an identity verification apparatus based on iris recognition according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a cloud server according to an embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the invention, the invention is further described below with reference to preferred embodiments and the accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. It is to be understood by persons skilled in the art that the following detailed description is intended to be illustrative and not restrictive, and is not intended to limit the scope of the invention.
As shown in fig. 1, the invention discloses an identity verification method based on iris recognition, which comprises the following steps:
collecting user identity information and matching with all identity information stored in a database;
and when the matching is successful, the iris information of the user is acquired and matched with the iris information stored in the database, if the iris information fails to be matched for many times, an alarm is given and alarm information is uploaded to a cloud server, and if the iris information is successfully matched, the identity information of the user is normally displayed.
Specifically, with reference to fig. 2, the network topology structure of the iris recognition device and the cloud server is a star network structure, and each iris recognition device is directly connected with the cloud server through TCP/IP, so that data can be uploaded and transmitted conveniently.
As shown in fig. 3, an embodiment of the present invention provides an identity verification apparatus based on iris recognition, including: the iris recognition system comprises a central processing module 1, an image acquisition module 2, a radio frequency identification module 3, an infrared light supplement module 4, a storage module 5, a communication module 6, a display module 7, an alarm module 8 and a shell 9, wherein the image acquisition module 2 acquires iris images of personnel, acquires face images of the personnel when iris information is registered, transmits the acquired images to the central processing module 1, only when new registered personnel are needed, the face images of the personnel and the images stored in an identity medium are acquired for face recognition, and after the face recognition is successful, an iris database of the personnel can be established; the radio frequency identification module 3 reads the identity medium number of a person and sends the read identity medium number to the central processing module 1, the identity information can be one of an identity card, a passport, a driving license and the like, the person acquires the identity medium before acquiring an iris image and compares the identity medium number of the person with a database such as an identity card number, if the identity medium number exists in the database, iris identification is carried out on the acquired iris information of the person, and if the identity medium number does not exist in the database, iris registration is carried out on the acquired iris information of the person; when the image acquisition module 2 acquires an iris image, the infrared light supplement module 4 is lightened under the control of the central processing module 1 to ensure that a clear iris image is acquired; the storage module 5 is used for storing a database, is electrically connected with the central processing module 1, and stores the identification medium number information, the iris code information and the personnel identity information of all identified personnel in the database; the communication module 6 uploads data with a cloud server and receives data sent by the cloud server under the control of the central processing module 1, and the uploaded data comprise an iris database, iris identification records and alarm information acquired by an iris identification device; the display module 7 is used for displaying the identification result and giving a prompt for continuing operation; the alarm module 8 sends out alarm information under the control of the central processing module 1 when the identification device identifies a dangerous person, the alarm is divided into several grades according to different conditions, and meanwhile, the central processing module 1 uploads the alarm information to a cloud server through the communication module 6; the central processing module 1 completes processing, matching, identification and registration of the iris image, identity medium number consistency confirmation, alarm information sending according to abnormality and the like, specifically, preprocessing, quality evaluation and image coding and matching are carried out on the collected iris information image, if the iris information of the personnel is successfully matched and the personnel should carry out identification operation, and meanwhile, if the read personnel identity medium number is consistent with that stored in the database, an identification result is given, if the iris information of the personnel is failed to be matched and the personnel should carry out registration operation, and meanwhile, the personnel passes through the identity card consistency comparison, the identity information and the iris code of the personnel are stored in the database, the information database of the personnel is established, and meanwhile, the identity data information of the personnel is uploaded to a cloud server. All the other conditions control the alarm module to send out alarm information, and simultaneously send the alarm information to the cloud server.
As shown in fig. 4, an embodiment of the present invention provides a cloud server, including: the system comprises a communication module 10, a data mining module 11, a query module 12, a data synchronization module 13 and an early warning module 14. The communication module 10 receives the identification records, the newly acquired personnel information, the alarm information and the like uploaded by each iris identification device, and issues a new database to each iris identification device. The data mining module 11 obtains the identification records of each iris identification device through the communication module 10, determines the relevance of the movement tracks between related persons through mining and analyzing a large number of identification records, analyzes the relevance of the identification records and public security incidents, and the like. The analysis result of the data mining module can provide basis for the decision of related organizations such as public security departments, and meanwhile, provide reference for the early warning condition setting of the early warning module 14. The query module 12 obtains the identification records of each iris identification device through the communication module 10, draws the action track of a certain or some specific users through the analysis of the identification records, and displays the action track to the users in a visual form such as a GIS system. The data synchronization module 13 judges whether the iris recognition device uploads the personnel identity data information in real time through the communication module 10, if so, the data synchronization module 13 attaches the new personnel data information to a database of a cloud server to form a new database, and simultaneously sends the new database to all the iris recognition devices through the communication module 10 to be updated so as to ensure the consistency of the iris database. The early warning module 14 sets some early warning conditions, and once the action track or other information of a user or a plurality of users meets the early warning conditions, sends out alarm information, and simultaneously can receive the alarm information of the iris recognition device through the communication module 10, so as to realize synchronous alarm.
The following describes the work flow of the identity verification device and the cloud server based on iris recognition with reference to fig. 1, the person to be recognized first puts the identity card on the radio frequency recognition module 3, the radio frequency recognition module 3 sends the identity card number to the central processing module 1, and the central processing module 1 compares the identity card number with the database. If the identity card number does not exist in the database, the image acquisition module 2 acquires the iris information of the person and compares the iris information of the person with the database. If the identification is successful and the suspicion that the certificate is falsely used by the personnel is indicated, the central processing module 1 controls the alarm module 8 to send out alarm information and simultaneously sends the alarm information to the cloud server, and the early warning module 14 of the cloud server synchronously sends out the alarm information. If the identification fails, the image acquisition module 2 acquires a face image of a person to be identified, performs face identification with the identification card picture, if the identification succeeds, stores the acquired iris information and identity information into a database, establishes an information database of the person, and synchronously uploads the person identity data information to a cloud server, and the data synchronization module 13 attaches the person identity data information to the database, and then sends a new database to all iris identification devices to complete the synchronization of database updating. If the face recognition fails, the person is suspected of falsifying and forging the certificate, and the alarm module 8 sends out alarm information. If the identification number exists in the database, the image acquisition module 2 acquires the iris image of the person and compares the iris information of the person with the database. If the identification fails, the image acquisition module 2 acquires the iris image of the person again for identification, and if the identification fails for N consecutive times, preferably 3 consecutive times, the person is suspected of falsifying or forging the identity card, and the alarm module 8 sends out alarm information. If the identification is successful, the central processing module 1 will compare the personnel identity card number read this time with the personnel identity card number stored in the database again, if the comparison is inconsistent, the personnel is also suspected of falsely using or forging the certificate, and the alarm module 8 sends out alarm information. And if the comparison is consistent, normally displaying the identity recognition result of the personnel.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus (device), 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, apparatus (devices) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention, and it will be obvious to those skilled in the art that other variations and modifications can be made on the basis of the above description, and all embodiments cannot be exhaustive, and obvious variations and modifications of the present invention are included in the protection scope of the present invention.
Claims (6)
1. An identity verification method based on iris recognition is characterized by comprising the following steps:
acquiring user identity information and matching the user identity information with all identity information stored in a database;
when matching is successful, iris information of a user is collected and matched with iris information stored in a database, if the iris information fails to be matched for many times, alarming is carried out, alarm information is uploaded to a cloud server, and if the iris information is successfully matched, identity information of the user is normally displayed;
when the collected identity information of the user cannot be matched with any identity information stored in the database:
iris information of a user is collected and matched with all iris information stored in a database, and if matching is successful, alarming is carried out and alarm information is uploaded to a cloud server;
if the matching fails, the user is registered according to the collected information and uploaded to the cloud server, and the method further comprises the following steps: when matching fails, acquiring face information of a user, carrying out face recognition with the acquired photos of the identity information, if matching succeeds, storing the acquired identity information, iris information and face information into a database, establishing a file of the user, and uploading the file to a cloud server for updating; and if the face information is not matched with the identity information, alarming.
2. The method of claim 1, wherein the normally displaying the identity information of the user if the iris information match successfully comprises:
and when the matching is successful, matching the identity information of the user with the identity information corresponding to the person who successfully matches the iris information in the database, if the matching is failed, giving an alarm and uploading alarm information to a cloud server, and if the matching is successful, normally displaying the identity information of the user.
3. The method of claim 1, further comprising:
the cloud server receives and processes the locally uploaded acquisition information and identification records, generates the activity track information of the user, compares the activity track information with a preset early warning condition threshold value, and gives an alarm when at least one early warning condition reaches the alarm threshold value and feeds an alarm signal back to the local for giving an alarm.
4. An identity verification device based on iris recognition, comprising:
a radio frequency identification module: the system is used for collecting user identity information;
an image acquisition module: the iris collecting device is used for collecting iris information of a user;
a central processing module: the system comprises a database, an alarm module, a display module and a cloud server, wherein the database is used for storing user identity information of a user, the user identity information is acquired by the display module, the user identity information is used for matching with all identity information stored in the database, when the matching is successful, the iris information of the user is matched with iris information corresponding to the user identity information, if the iris information is matched for a plurality of times and fails, the alarm module is controlled to give an alarm and upload alarm information to the cloud server, and if the iris information is matched successfully, the identity information of the user is normally displayed through the display module;
the central processing module is further configured to:
when the collected identity information of the user cannot be matched with any identity information stored in the database:
controlling the image acquisition module to acquire iris information of a user, matching the iris information with all iris information stored in a database, and alarming and uploading alarm information to a cloud server if matching is successful;
if the matching fails, the user is registered according to the collected information and uploaded to a cloud server, and the central processing module is further used for: when the matching of the iris information fails, controlling an image acquisition module to acquire face information of a user, carrying out face recognition on the face information and the acquired picture of the identity information, if the matching is successful, storing the acquired identity information, the iris information and the face information into a database, establishing a file of the user, and uploading the file to a cloud server for updating;
and if the face information is not matched with the identity information, alarming.
5. The apparatus of claim 4, wherein the central processing module is further configured to:
and when the iris information is successfully matched, matching the identity information of the user with the identity information corresponding to the person who successfully matches the iris information in the database, if the matching fails, giving an alarm and uploading alarm information to a cloud server, and if the matching succeeds, normally displaying the identity information of the user.
6. The apparatus of claim 4, wherein the cloud server comprises:
a communication module: the system is used for receiving and processing locally uploaded acquisition information and identification records;
a data mining module: the early warning system is used for generating the activity track information of the user according to the received information and comparing the activity track information with a preset early warning condition threshold value;
the early warning module: the early warning device is used for setting early warning conditions and giving an alarm if at least one early warning condition reaches an alarm threshold value;
a data synchronization module: the system is used for synchronizing the uploaded information to a local database, and when the early warning module gives an alarm, the synchronous local alarm module gives an alarm.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105373787A (en) * | 2015-12-10 | 2016-03-02 | 深圳先进技术研究院 | Kindergarten pick-up management system and kindergarten pick-up management method |
CN105574491A (en) * | 2015-12-10 | 2016-05-11 | 深圳先进技术研究院 | Iris recognition based examinee identity recognition device and examinee identity recognition method |
CN106302330A (en) * | 2015-05-21 | 2017-01-04 | 腾讯科技(深圳)有限公司 | Auth method, device and system |
CN107978044A (en) * | 2017-11-29 | 2018-05-01 | 南京甄视智能科技有限公司 | Based on face recognition technology and the high-precision identifying system of RFID technique and recognition methods |
CN108229427A (en) * | 2018-01-29 | 2018-06-29 | 南京华科和鼎信息科技有限公司 | A kind of identity-based certificate and the identity security verification method and system of recognition of face |
-
2018
- 2018-12-21 CN CN201811573066.4A patent/CN109376725B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106302330A (en) * | 2015-05-21 | 2017-01-04 | 腾讯科技(深圳)有限公司 | Auth method, device and system |
CN105373787A (en) * | 2015-12-10 | 2016-03-02 | 深圳先进技术研究院 | Kindergarten pick-up management system and kindergarten pick-up management method |
CN105574491A (en) * | 2015-12-10 | 2016-05-11 | 深圳先进技术研究院 | Iris recognition based examinee identity recognition device and examinee identity recognition method |
CN107978044A (en) * | 2017-11-29 | 2018-05-01 | 南京甄视智能科技有限公司 | Based on face recognition technology and the high-precision identifying system of RFID technique and recognition methods |
CN108229427A (en) * | 2018-01-29 | 2018-06-29 | 南京华科和鼎信息科技有限公司 | A kind of identity-based certificate and the identity security verification method and system of recognition of face |
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