WO2020133026A1

WO2020133026A1 - Dynamic matching method and apparatus for biometric information, and biometric identification system

Info

Publication number: WO2020133026A1
Application number: PCT/CN2018/124162
Authority: WO
Inventors: 李镇旭; 徐华斌; 郑耀
Original assignee: 青岛海泰新光科技股份有限公司
Priority date: 2018-12-27
Filing date: 2018-12-27
Publication date: 2020-07-02

Abstract

A dynamic matching method for biometric information, a dynamic matching apparatus for biometric information, a dynamic data processing method, a dynamic data processing apparatus and a biometric identification system. The dynamic matching method for biometric information comprises: configuring a static database, wherein the static database stores relevant data of all users, and the relevant data comprises biometric information of the users (S100); determining a user meeting a predetermined condition to be a specific user (S200); configuring a dynamic database, and when the user meeting the predetermined condition is determined to be the specific user, transmitting relevant data of the specific user from the static database to the dynamic database so as to store the relevant data in the dynamic database (S300); receiving input biometric information of the specific user (S400); and comparing the input biometric information with biometric information stored in the dynamic database, and if the input biometric information is consistent with the biometric information stored in the dynamic database, determining that same match (S500).

Description

Biometric information dynamic matching method, device and biometric identification system

Technical field

The present disclosure relates to a dynamic data processing method, a dynamic data processing device, a biometric information dynamic matching method, a biometric information dynamic matching device, and a biometric identification system.

Background technique

Although the biometric matching system based on feature points has high accuracy, but because the similarity between the extracted feature points is measured mathematically, it requires absolute calculation (processing) time to calculate the similarity. In order to improve the accuracy of matching and improve the evaluation criteria, it may increase the execution time.

For example, in the case of a palm vein matching system, it takes at least 1/4000 second to compare the similarity between feature points. This is in addition to the database (DB) configuration, master data input/output (I/O), the data query (Query) of the authenticated user, and the transmission of results. If you consider all the time it takes, the total matching time will be longer.

In the matching system, 1:1 matching based on Verification is: information input→user information search→comparison→result output, which is only a comparison of the similarity of feature points. The identification of the users who have the corresponding biometric information among all users is as follows: input the user's biometric information → compare with all users → output the results, and the time of the comparison operation is different based on the total number of users. In the field of recognition, the speed of comparison operations has a great impact on the entire system. In the case of a DB with a small total number of users (1:10000 level, 1 is the user to be identified, and 10000 is the total number of users), no large equipment investment is required, and data processing/classification can be used to maximize performance . However, if the number of users is expanded to medium/large scale (1:50,000 or more), equipment investment is required to ensure the desired performance.

The explanation is based on the 1/4000 second of the palm vein matching system. In the case of a single-core CPU, 4000 users can be identified in one second. When a quad-core CPU is used, it can be developed as a parallel processing method. It uses a multi-thread method to run four operations simultaneously on the quad-core CPU. However, even with parallel processing, a maximum of 16,000 people can be processed in 1 second. Here, it is assumed that the CPU is 100% used for matching processing, but in actual situations, the operating system (OS), server (Server), database, and application (APP), etc., will consume CPU resources, so the actual time of 1 second is not It is possible to identify 16,000 users. If you use a quad-core CPU, it takes at least 6 to 8 seconds to get a 1:100,000 matching result.

The main use of biometrics is technology that is expected to quickly identify users. It is mainly used to record attendance (Time Attendance, hereinafter referred to as TA) of user attendance records and access control (Access) (hereinafter referred to as AC) for granting access rights to specific locations or routes. In both applications, there will be a flow of people. If there is a problem with the execution or the time is too long, congestion will occur. When the execution time is more than 6 seconds, it will be a very long time for these applications. In AC/TA applications, the comparison results are usually obtained within 1 second. Therefore, in the AC/TA of medium/large biometrics In application, it is necessary to add equipment to meet the requirements.

In order to improve the execution speed, you can use the server computing technology to connect the four-core CPU in parallel. That is, through the parallel expansion of CPU cores and the method of increasing the number of simultaneous executions, each server may have 4 to 16 CPUs. As mentioned above, the CPU operation of the server is not only used for the biometric comparison operation, but as the total number of users increases, the scale of the device also increases proportionally. The expansion of the equipment means increased construction and maintenance costs.

In particular, in scenarios such as medium/large-scale universities, hospitals, subways, and railways that need to clearly identify whether they are themselves, the more people use the system, the more rapid authentication is required to ensure smooth operation. In order to operate smoothly, you need to get the certification result within 1 second, so the construction/management cost will increase sharply. Processing a large-scale 1:1000000 matching system in less than 1 second requires at least 80 quad-core CPUs, and additional server systems and network equipment to provide data dispersion, flow control, and management.

In order to overcome the above problems, the following two methods generally exist in the prior art.

The first method is that the user's biological information is directly stored in the user's ID card or mobile phone, the stored biological information is read when authentication is required, and the read biological information is compared with the currently acquired user's biological information. However, the biggest problem in this method is that the biological information held by the user needs to be transmitted through the biometric terminal. The communication method of the ID card or mobile phone and the identification terminal is still low speed, and errors often occur, and the transmission takes a long time. . And a series of processes of authorization and encryption may be required to transmit important personal sensitive information through wireless. If encryption or security is not guaranteed, the data may be intercepted by wireless hackers. When data encryption is performed to prevent this, additional processes are required, such as key exchange and encryption/decryption, and therefore, the execution time is increased again and the equipment may need to be added. In addition, if the user loses the mobile phone or ID card, biometric authentication cannot be performed.

The second method is based on the proximity of the mobile terminal to perform AC/TA technology. The biggest problem with this method is maximum availability, but the security is relatively weak. The biggest problem with the mobile phone authentication method is that because it is based on the premise that "you hold a registered mobile phone = yourself", there may be some differences from the essence of the core "self-certification" of the AC/TA industry.

Summary of the invention

In order to solve at least one of the above technical problems, the present disclosure provides a dynamic data processing method, a dynamic data processing device, a biometric information dynamic matching method, a biometric information dynamic matching device, and a biometric identification system.

According to a first aspect of the present disclosure, a dynamic data processing method includes: configuring a static database that stores relevant data of all users; determining users satisfying predetermined conditions as specific users; and configuring a dynamic database when When a user satisfying a predetermined condition is determined to be a specific user, relevant data of the specific user is transferred from the static database to the dynamic database for storage in the dynamic database.

According to an embodiment of the present disclosure, the method further includes: when the specific user no longer satisfies the predetermined condition, deleting related data of the specific user from the dynamic database.

According to an embodiment of the present disclosure, the method further includes: receiving input information of the specific user, and comparing the input information with user-related data stored in the dynamic database.

According to an embodiment of the present disclosure, the predetermined condition is a predetermined location range or a predetermined user, and a user who is in the predetermined location range or a user who is a predetermined user is determined as a specific user.

According to an embodiment of the present disclosure, the predetermined user is a reserved user or a registered user.

According to a second aspect of the present disclosure, a dynamic data processing apparatus includes: a static database module that stores relevant data of all users; a determination module for determining a user who meets predetermined conditions as a specific user; and A dynamic database module, when the determination module determines that a user who meets a predetermined condition is a specific user, the dynamic database receives and stores data about the specific user from the static database.

According to an embodiment of the present disclosure, when the specific user no longer satisfies the predetermined condition, the data related to the specific user stored in the dynamic database is deleted.

According to an embodiment of the present disclosure, the device further includes: a receiving module for receiving input information of the specific user; and a comparison module for comparing the input information with user-related data stored in the dynamic database.

According to an embodiment of the present disclosure, the predetermined condition is a predetermined location or a predetermined user, and a user who is in the predetermined location range or a user who is a predetermined user is determined as a specific user.

According to a third aspect of the present disclosure, a method for dynamically matching biometric information includes: configuring a static database that stores relevant data of all users, the relevant data including biometric information of the user; predetermined conditions will be satisfied Users are determined to be specific users; configure a dynamic database, and when a user who meets a predetermined condition is determined to be a specific user, transfer relevant data of the specific user from the static database to the dynamic database for storage to the dynamic database In; receiving the input biometric information of the specific user; and comparing the input biometric information and the biometric information stored in the dynamic database, if the two are consistent, it is judged as a match.

According to an embodiment of the present disclosure, the predetermined condition is a preset position range, and a user in the preset position range is regarded as a specific user.

According to an embodiment of the present disclosure, it is determined whether the user is in the preset position range by detecting the mobile terminal carried by the user.

According to an embodiment of the present disclosure, the input biometric information of the specific user is received through a biometric identification terminal, and the preset position range is a predetermined distance range from the biometric identification terminal.

According to an embodiment of the present disclosure, the mobile terminal is a BLE/Beacon-based mobile terminal, and the mobile terminal periodically transmits a signal, and the biometric identification terminal is used to receive the signal transmitted by the mobile terminal.

According to an embodiment of the present disclosure, the signal transmitted by the mobile terminal includes inherent information of the mobile terminal, and the inherent information includes at least one of the IMEI, UUID, Bluetooth address, WLAN MAC address, serial number, and phone number of the mobile terminal And the relevant data of the user includes the inherent information of the mobile terminal.

According to an embodiment of the present disclosure, a plurality of the biometric identification terminals are provided to confirm the number of mobile terminals around the biometric identification terminal.

According to an embodiment of the present disclosure, the distance of each mobile terminal in the surroundings is measured by a plurality of the biometric recognition terminals, so as to determine the time and/or probability of the user carrying the mobile terminal to perform the biometric recognition.

According to an embodiment of the present disclosure, the predetermined condition is a predetermined user, and when the user is a predetermined user, the user is regarded as a specific user.

According to a fourth aspect of the present disclosure, a device for dynamically matching biometric information includes: a static database module that stores relevant data of all users, and the relevant data includes biometric information of the user; A user who meets a predetermined condition is determined as a specific user; a dynamic database module, when a user who meets a predetermined condition is determined as a specific user, transfers the relevant data of the specific user from the static database to the dynamic database for storage to all The dynamic database; a biometrics identification module that receives the input biometric information of the specific user; and a comparison module for comparing the input biometric information with the biometric information stored in the dynamic database, if the two are consistent, It is judged as a match.

According to an embodiment of the present disclosure, the apparatus further includes: when the specific user no longer satisfies the predetermined condition, deleting the relevant data of the specific user from the dynamic database.

According to an embodiment of the present disclosure, the mobile terminal carried by the user is detected by the biometric identification module to determine whether the user is in the preset position range.

According to an embodiment of the present disclosure, the mobile terminal is a BLE/Beacon-based mobile terminal, and the mobile terminal periodically transmits a signal, and the biometric identification module is used to receive the signal transmitted by the mobile terminal.

According to an embodiment of the present disclosure, a plurality of the biometric identification modules are provided to confirm the number of mobile terminals around the biometric identification module.

According to one embodiment of the present disclosure, the distance of each mobile terminal in the surrounding is measured by a plurality of the biometric identification modules, so as to determine the time and/or probability of biometric identification by the user carrying the mobile terminal.

According to an embodiment of the present disclosure, the determination module, the biometric identification module, and the comparison module are located in the biometric identification terminal.

According to an embodiment of the present disclosure, the dynamic database module is located in the biometrics terminal, or in the local network, or in the server where the static database module is located, or in a different server from where the static database module is located. In a server.

According to a fifth aspect of the present disclosure, a biometric identification system includes the biometric information dynamic matching device as described above.

BRIEF DESCRIPTION

The drawings illustrate exemplary embodiments of the present disclosure and are used to explain the principles of the present disclosure together with their descriptions. These drawings are included to provide a further understanding of the present disclosure, and the drawings are included in this specification and constitute the present Part of the manual.

FIG. 1 is a schematic flowchart of a dynamic data processing method according to an embodiment of the present disclosure.

2 is a schematic diagram of a list form of user data according to an embodiment of the present disclosure.

3 is a schematic diagram of a dynamic data processing device according to an embodiment of the present disclosure.

4 is a schematic diagram of a dynamic data processing device according to an embodiment of the present disclosure.

5 is a schematic flowchart of a method for dynamically matching biometric information according to an embodiment of the present disclosure.

6 is a schematic diagram of a configuration of a biometric terminal according to an embodiment of the present disclosure.

7 is a schematic diagram of a biometric terminal detecting a user position according to an embodiment of the present disclosure.

8 is a schematic flowchart of configuring a dynamic database according to an embodiment of the present disclosure.

9 is a schematic flowchart of a biometrics identification method according to an embodiment of the present disclosure.

detailed description

The disclosure will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only used for explaining related contents, rather than limiting the present disclosure. It should also be noted that, for ease of description, only the parts related to the present disclosure are shown in the drawings.

It should be noted that the embodiments in the present disclosure and the features in the embodiments can be combined with each other without conflict. The disclosure will be described in detail below with reference to the drawings and in conjunction with the embodiments.

First, FIG. 1 shows a dynamic data processing method according to the first embodiment of the present disclosure.

As shown in FIG. 1, the dynamic data processing method may include: step S10, configuring a static database; step S20, determining a specific user; and step S30, configuring a dynamic database.

In step S10, the static database is configured so that the static database stores relevant data of all users. In this disclosure, a static database refers to a database that stores relevant data of all registered users.

Here, taking a biometric application as an example, the relevant data may include the user's basic information and biometric information, and may also include the unique information of the mobile terminal owned by the user, such data includes: user name, ID number, phone number , IMEI (International Mobile Terminal Identification Code), UUID (Universal Unique Identification Code) of mobile terminal, Bluetooth address, WLAN MAC address, terminal serial number, biometric information, etc. When necessary, a user can register multiple information and multiple mobile terminals, and there is no limit to the type and number of devices to be registered, for example, mobile terminals such as portable phones, smart watches, and tablets.

Figure 2 shows the list format of user data stored in a static database. Those skilled in the art should understand that although the user shown in FIG. 2 may correspond to unique information of multiple registered mobile terminals.

When logging in the user's relevant data, the user's basic information can be input through the input terminal, and the user's mobile terminal information can be extracted and input, and the user's biometric information can be collected through the biometric terminal to form a corresponding list form.

In step S20, it is used to determine a specific user, where the determination can be made by whether a predetermined condition is satisfied. For example, a biometric terminal or other form of receiver is used to monitor whether the mobile terminal carried by the user is within a predetermined location range, and if it is within the predetermined location range, the user is determined to be a specific user. For example, when used in the subway authentication system, all user information is registered subway users, which may be more than 5 million or even 10 million users. When some users enter the predetermined recognition range, these users are determined as Specific users. The selection of the specific user may also be based on the reserved user who made a reservation for an event at a specific time (today, tomorrow, the day after tomorrow), and the reservation is determined as the specific user. For example, in the scenario of reservation, the user who can reserve a certain day As a specific user on that day. The registered user may also be regarded as a specific user. For example, in a scene of a hotel, hospital, or exhibition, the registered user may be regarded as a specific user.

In step S30, when the user satisfying the predetermined condition is determined to be the specific user, the relevant data of the specific user is transferred from the static database to the dynamic database for storage in the dynamic database.

In the present disclosure, a dynamic database refers to a database that receives and stores data related to a specific user stored in static data. The content of the dynamic database will vary according to the specific user. In particular, when a user previously identified as a specific user no longer satisfies the predetermined condition, he cannot continue to be confirmed as a specific user, and the user's relevant data stored in the dynamic database can be deleted. The deletion operation may be real-time or delayed for a period of time, and those skilled in the art may set it according to actual conditions.

According to the above method, for medium and large-scale static databases, such as million-level databases, by establishing a dynamic database according to a specific user and performing data processing for the specific user based on the dynamic database, the processing speed can be effectively accelerated. Because the number of users who meet the conditions is usually below 10,000. Such data processing can be completed with a small-scale dynamic database, which greatly speeds up the speed without increasing equipment investment.

In an alternative embodiment, the above method may further include step S40, receiving user input information. For example, when biometric authentication is required, biometric information input by a specific user may be received through the biometric terminal. The above method may further include step S50, which is used to compare the biometric information input during biometric authentication with the biometric information of the user stored in the dynamic database, and if they match, the user authentication is passed.

According to the second embodiment of the present disclosure, there is also provided a dynamic data processing device corresponding to the method of the first embodiment. Detailed description will be given below with reference to FIG. 3.

First, it should be noted that, as described in this disclosure or shown in the drawings, separate different modules do not mean that they are implemented in different physical devices, nor do combined physical modules mean that they are in the same physical device achieve. The division of each module below is only based on the implemented functions, and has nothing to do with the division of actual physical devices.

As shown in FIG. 2, the dynamic data processing apparatus may include a static database module 1, a dynamic database module 2, and a determination module 3. The static server 1 is used to store data about all users. The format and storage method of the data may be the same as the first embodiment. The determination module 3 is used to determine a user who meets a predetermined condition as a specific user, and the predetermined condition and the determination manner may be the same as the first embodiment. The dynamic database module 2 is used to receive the specific user's data from the static database module 3 according to the specific user determined by the determination module 3 and store it. The operation mode of the dynamic database module 2 may be the same as the first embodiment. For example, when a specific user is no longer a specific user before, the data of the dynamic database module 2 may be deleted from the dynamic database module 2.

The dynamic data processing device may further include an input module 4 and a comparison module 5. In the process of biometric information authentication, the input module 4 may be in the form of a biometric terminal as described above, and may be used to perform the above step S40. The comparison module 5 can be used to perform the above step S50.

For example, in the scenario of biometric authentication, the static database module 3 is used to store relevant data of all users, which is not directly used for biometric comparison, but only acts as a data center for all users. The dynamic database module 2 changes according to the change of a specific user, so it can be regarded as a temporary database module. The dynamic database module 2 can be located in the biometric terminal, it can be located on the local network, or it can be a sub-database of the server system where the static database module 3 is located, or even a server system specifically built for the dynamic database module 2. The present disclosure does not limit the structure of the dynamic database module 2. In addition, the one dynamic database module may be formed for multiple biometric terminals.

In the present disclosure, the dynamic data processing apparatus may include a plurality of receiving modules, and the plurality of receiving modules may correspond to the determination module/comparison module in one-to-one correspondence or in one-to-one correspondence. For example, in the field of biometrics, multiple biometrics terminals can be installed according to the actual application location.

In order to better illustrate the diversity of the various module settings of the present disclosure. Taking the biometrics application as an example, the dynamic database module 2, the determination module 3, the receiving module 4 and the comparison module 5 described above can all be implemented in the biometric terminal, and the static database module 1 can be implemented in the remote server.

According to a third embodiment of the present disclosure, a method for dynamically matching biometric information is provided.

FIG. 5 shows a schematic flowchart of a method for dynamically matching biometric information according to the present disclosure.

In step S100, a static database is configured, and the static database stores relevant data of all users, and the relevant data includes biometric information of the user. In step S200, a user satisfying a predetermined condition is determined as a specific user. In step S300, a dynamic database is configured, and when a user who meets a predetermined condition is determined to be a specific user, related data of the specific user is transferred from the static database to the dynamic database for storage in the dynamic database. In step S400, the input biometric information of a specific user is received; and in step S500, the input biometric information is compared with the biometric information stored in the dynamic database, and if the two are consistent, it is judged as a match. The specific implementation manners of steps S100-S500 in this embodiment may be the same as or similar to steps S10-S50 in the first embodiment, respectively.

In addition, according to the fourth embodiment of the present disclosure, there is also provided a device for dynamically matching biometric information, including: a static database module that stores relevant data of all users, and the relevant data includes biometric information of the user; The user who meets the predetermined condition is determined as the specific user; the dynamic database module, when the user who meets the predetermined condition is determined as the specific user, transfers the relevant data of the specific user from the static database to the dynamic database for storage in the dynamic database; The feature recognition module receives the input biometric information of a specific user; and the comparison module is used to compare the input biometric information with the biometric information stored in the dynamic database. If the two are consistent, it is judged as a match.

In the following, the third and fourth embodiments will be described based on an example of a method of performing user judgment through a mobile terminal carried by the user.

It is necessary to register and store the unique information of the mobile terminal in the static database, such as the above-mentioned phone number, IMEI (International Mobile Terminal Identification Code), UUID (Universal Unique Identification Code), Bluetooth address, WLAN MAC address, terminal serial number of the mobile terminal, And establish the relationship between these information and the user name, ID number and biometric information. As described above, one user can correspond to multiple mobile terminals.

The biometric terminal determines whether the registered mobile terminal is within a predetermined location range. Here, it can be achieved by the biometric terminal scanning and detecting the proximity of the mobile terminal. The present disclosure applies the proximity detection technology of the mobile terminal described in the prior art. Bluetooth technology before version 4.0 requires pairing (Pairing) between two devices, which means that only identifiable and authenticated devices can communicate normally. However, due to the addition of BLE (Bluetooth Low Energy) in Bluetooth 4.0 and later, Broadcasting makes it possible to search and identify peripheral devices without pairing, send and receive simple information, measure communication response time, and estimate Information about the physical distance from the device. Based on this, the technology that can be used like a small logo is Beacon (beacon). A typical example of using BLE technology is the recent Xiaomi Internet of Things (IOT) device. When a new device is purchased for registration, the mobile phone's BLE function is used to search for the device, read the device information and incorporate it into the user environment. simple. In the past, to include new equipment in the WIFI environment, the process of entering and registering network information on the equipment had to be completed. For this, other input devices and display screens were required. However, BLE/Beacon can simply search these parts by broadcasting. The power consumption of this communication method is very low. Now you can easily use small sensors without buttons and inexpensive devices. Beacon can take various forms, such as iBeacon (Apple) and URIBeacon (Google), and the inherent inherent information used may be different depending on the use of the mobile terminal.

A mobile terminal using BLE/Beacon technology can continuously and periodically send out signals in the form of advertising packets, transmit the inherent information of the mobile terminal through the broadcast packets, and the biometric identification terminal works as a receiver To receive the unique information of the mobile terminal.

The default detection distance of BLE/Beacon is 50 meters. However, the final performance depends on the construction environment, and the detection distance can be expanded/concentrated through various methods. The core capability here is that the biometric identification terminal confirms the number of surrounding mobile terminals in this way, and a preliminary list of users who may try biometric identification can be created. For example, the detection environment is constructed through multiple biometric recognition terminals, as shown in FIG. 6. In addition, when a plurality of biometric identification terminal terminals are installed as receivers in the manner as shown in FIG. 7, the position of each mobile terminal can be measured, so that the biometric authentication attempt time and probability can be predicted by referring to the position. C1 to C4 in FIG. 7 represent the first to fourth biometric recognition terminals, and d1 to d4 represent the distance of the mobile terminal from each biometric recognition terminal terminal.

Through the preliminary list generated above, the biometrics identification terminal or other devices can dynamically configure a database required for biometric authentication, that is, a dynamic database. Of course, it is also possible to construct the dynamic database only based on nearby users.

This dynamic configuration will be described below with reference to FIG. 8. The dynamic configuration refers to a configuration in which the dynamic database is changed based on the existing dynamic database.

The method of dynamic configuration includes the following steps:

In step S301, the biometric identification terminal detects surrounding mobile terminals and collects mobile terminal information, which can be detected and obtained device information through the above-mentioned BLE/Beacon technology.

Step S302, comparing and determining the collected mobile terminal information with the mobile terminal information stored in the dynamic database.

Step S303, when certain mobile terminal information stored in the dynamic database is not included in the collected mobile terminal information, delete the mobile terminal information stored in the dynamic database. At this time, it may indicate that the user holding the mobile terminal was previously within the predetermined location range, but is currently not within the predetermined location range, and it may not perform subsequent biometric authentication, so for this type of user, you can remove its information from the dynamic database delete.

Step S304, when the mobile terminal information stored in the dynamic database does not contain some or some collected mobile terminal information, it is regarded as that a new mobile terminal is detected. That is to say, the user who holds the mobile terminal was not in the predetermined location range before, but is currently in the predetermined location range, and it may perform the subsequent biometric authentication.

In step S305, for the user who holds the mobile terminal determined in step S304, the information of the detected new mobile terminal can be used to perform a query in a static database to find data information matching the user.

In step S306, relevant information including biometric information of the user of the new mobile terminal is transmitted from the static database.

Step S307, the dynamic database receives and adds the information of the user of the new mobile terminal. In this way, this information is stored in the dynamic database for possible future biometric authentication.

FIG. 9 shows a schematic flow chart when a user performs biometric authentication. First, the user inputs biometric information at the biometric terminal. Then, the biometric information received by the terminal is compared with the biometric information stored in the currently configured dynamic database. If they match, the verification is passed, and if they are not, the verification fails.

In addition, as described in the above embodiment, the location where the dynamic database is located can be set as needed.

According to an embodiment of the present disclosure, a user does not need to operate a mobile terminal, and can quickly use a required service using only biometrics. There is no need to remove the card separately, nor to open the phone and run the application. And it also has the effect of cross-validating the user's mobile terminal and biological information without any notification from the user.

The advantage of this method is not only to speed up the implementation of biometrics and reduce equipment investment costs, but also to maximize biometric authentication performance itself. Since the biometrics technology uses a probability-based technology to compare feature points caused by biological information that changes each time a biometric is acquired, it is difficult to achieve a technology with an error rate of 0%. To overcome these limitations, there is a 2-factor (two-factor) authentication method. This is because when various biometric authentication methods such as fingerprint + palm vein, fingerprint + face, palm vein + face are used in combination, the probability of authentication failure is reduced to A×B (A and B are the failure of the two methods respectively Probability). This method is 2-factor (two-factor) authentication based on mobile terminal technology and biometric technology mentioned in the prior art. That is to say, the assumption that the existing technology owns the terminal/card is the "person". The biometric authentication has an error probability of FAR (false recognition rate)/FRR (according to the true rate), so when these two combinations become In A&B, you can minimize errors that may occur in both methods. This is a method to prove that "the one who has this card/terminal must be me" can greatly improve security.

Finally, the case where the 2-factor (two-factor) cannot be authenticated, that is, the mobile terminal is not around or lost is described. In this case, you can use other mobile terminals to enter user information before using biometrics. Although you can use your own identification number such as your ID card number or mobile phone number, you can also enter possible duplicate information such as name and date of birth. The number of users with the same name and the same date of birth is limited, and the biometric authentication comparison operation can be performed by inputting information into the dynamic database and transmitting the user's biometric information from the static database to the dynamic database. In this way, the input information will not be deleted directly in the dynamic database, and it can also be used continuously for a specific period.

According to the present disclosure, the actual biometric comparison operation of a large database including users of more than one million levels can be performed by a small-scale database of less than ten thousand levels. And without the investment of other equipment, biometrics can also be carried out quickly. In order to obtain higher performance, it is also possible to construct a dynamic database through another computer or software for comparison. Because these devices can handle more than 10,000 people in one second even under the performance of ordinary computers, the existing devices that require medium/large server systems have the advantage of being cheap.

In addition, according to the present disclosure, every time a user is newly detected in the terminal/computer constituting the dynamic database, the biometric data must be queried in the static database, and the overall network traffic seems to increase. However, assuming that users who are close have potential biometrics and biometric terminals for the purpose of approaching, the total traffic is the same as the direct comparison using a static database. The only difference is whether the data is uploaded to a static database or downloaded to a dynamic database. In addition, if the biometric comparison is performed in a local network or terminal, no additional traffic is required, and it is not affected by other networks. Ultimately, users can experience much faster than in the past.

In the description of this specification, reference to the descriptions of the terms "one embodiment/mode", "some embodiments/modes", "examples", "specific examples", or "some examples" means to incorporate the embodiment/mode The specific features, structures, materials or characteristics described in the examples are included in at least one embodiment/mode or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment/mode or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. In addition, without contradicting each other, those skilled in the art may combine and combine different embodiments/modes or examples and features of the different embodiments/modes or examples described in this specification.

In addition, the terms "first" and "second" are used for description purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" may include at least one of the features explicitly or implicitly. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise specifically limited.

Those skilled in the art should understand that the above-mentioned embodiments are only for clearly illustrating the present disclosure, rather than limiting the scope of the present disclosure. For those skilled in the art, other changes or modifications can be made on the basis of the above disclosure, and these changes or modifications are still within the scope of the present disclosure.

Claims

A dynamic data processing method, which includes:

A static database is configured, and the static database stores relevant data of all users;

Identify users who meet predetermined conditions as specific users; and

Configure a dynamic database, and when a user who meets a predetermined condition is determined to be a specific user, transfer the relevant data of the specific user from the static database to the dynamic database for storage in the dynamic database.
The method of claim 1, further comprising: when the specific user no longer satisfies the predetermined condition, deleting related data of the specific user from the dynamic database.
The method according to claim 1 or 2, further comprising: receiving input information of the specific user, and comparing the input information with user-related data stored in the dynamic database.
The method according to any one of claims 1 to 3, wherein the predetermined condition is a predetermined location range or a predetermined user, and a user in the predetermined location range or a user who is a predetermined user is determined as a specific user .
The method according to claim 4, wherein the predetermined user is a reserved user or a registered user.
A dynamic data processing device, characterized in that it includes:

A static database module, where the static database stores relevant data of all users;

A determination module for determining a user satisfying a predetermined condition as a specific user; and

A dynamic database module, when the determination module determines that a user who meets a predetermined condition is a specific user, the dynamic database receives and stores data about the specific user from the static database.
The apparatus according to claim 6, wherein when the specific user no longer satisfies the predetermined condition, the data related to the specific user stored in the dynamic database is deleted.
The device according to claim 6 or 7, further comprising:

A receiving module, configured to receive input information of the specific user; and

A comparison module is used to compare the input information with the user-related data stored in the dynamic database.
The device according to any one of claims 6 to 8, wherein the predetermined condition is a predetermined location or a predetermined user, and a user who is within the predetermined location range or is a predetermined user is determined as a specific user.
The apparatus of claim 9, wherein the predetermined user is a reserved user or a registered user.
A method for dynamically matching biometric information, characterized in that it includes:

A static database is configured, and the static database stores relevant data of all users, and the relevant data includes biometric information of the user;

Identify users who meet predetermined conditions as specific users;

Configure a dynamic database, and when a user who meets a predetermined condition is determined to be a specific user, transfer relevant data of the specific user from the static database to the dynamic database for storage in the dynamic database;

Receiving input biometric information of the specific user; and

Comparing the input biometric information with the biometric information stored in the dynamic database, if the two are consistent, it is determined to be a match.
The method of claim 11, further comprising: when the specific user no longer satisfies the predetermined condition, deleting related data of the specific user from the dynamic database.
The method according to claim 11 or 12, wherein the predetermined condition is a preset position range, and a user in the preset position range is regarded as a specific user.
The method according to claim 13, wherein the mobile terminal carried by the user is detected to determine whether the user is in the preset position range.
The method of claim 14, wherein the input biometric information of the specific user is received through a biometric identification terminal, and the preset position range is a predetermined distance range from the biometric identification terminal.
The method of claim 15, wherein the mobile terminal is a BLE/Beacon-based mobile terminal, and the mobile terminal periodically transmits a signal, and the biometric terminal is used to receive the mobile terminal transmission signal of.
The method according to claim 16, wherein the signal transmitted by the mobile terminal includes inherent information of the mobile terminal, and the inherent information includes the IMEI, UUID, Bluetooth address, WLAN MAC address, serial number, telephone number of the mobile terminal At least one of the numbers, and the relevant data of the user includes the inherent information of the mobile terminal.
The method according to any one of claims 15 to 17, wherein a plurality of the biometric identification terminals are provided to confirm the number of mobile terminals around the biometric identification terminal.
The method according to claim 18, wherein the distance of each mobile terminal in the surrounding is measured by a plurality of the biometric identification terminals, so as to determine the time and/or probability of biometric identification by the user carrying the mobile terminal.
The method according to claim 11 or 12, wherein the predetermined condition is a predetermined user, and when the user is a predetermined user, the user is regarded as a specific user.
The method of claim 20, wherein the predetermined user is a reserved user or a registered user.
A biometric information dynamic matching device, characterized in that it includes:

A static database module, the static database stores relevant data of all users, and the relevant data includes biometric information of the user;

The determination module determines users who meet predetermined conditions as specific users;

The dynamic database module, when a user satisfying a predetermined condition is determined to be a specific user, transfers relevant data of the specific user from the static database to the dynamic database for storage in the dynamic database;

A biometric identification module, receiving input biometric information of the specific user; and

The comparison module is used to compare the input biometric information with the biometric information stored in the dynamic database, and if the two are consistent, it is judged as a match.
The apparatus of claim 22, further comprising: when the specific user no longer satisfies the predetermined condition, deleting related data of the specific user from the dynamic database.
The device according to claim 22 or 23, wherein the predetermined condition is a preset position range, and a user within the preset position range is regarded as a specific user.
The apparatus of claim 24, wherein the biometric identification module detects the mobile terminal carried by the user to determine whether the user is in the preset location range.
The apparatus of claim 25, wherein the mobile terminal is a BLE/Beacon-based mobile terminal, and the mobile terminal periodically transmits a signal, and the biometric identification module is configured to receive the mobile terminal transmission signal of.
The apparatus of claim 26, wherein the signal transmitted by the mobile terminal includes inherent information of the mobile terminal, and the inherent information includes the IMEI, UUID, Bluetooth address, WLAN MAC address, serial number, and phone number of the mobile terminal At least one of the numbers, and the relevant data of the user includes the inherent information of the mobile terminal.
The device according to any one of claims 25 to 27, wherein a plurality of the biometric identification modules are provided to confirm the number of mobile terminals around the biometric identification module.
The apparatus according to claim 28, wherein a plurality of the biometric identification modules are used to measure the distance of each mobile terminal in the vicinity, so as to determine the time and/or probability of biometric identification by the user carrying the mobile terminal.
The device according to claim 22 or 23, wherein the predetermined condition is a predetermined user, and when the user is a predetermined user, the user is regarded as a specific user.
The apparatus of claim 30, wherein the predetermined user is a reserved user or a registered user.
The device according to any one of claims 22 to 31, wherein the determination module, the biometric identification module, and the comparison module are located in a biometric identification terminal.
The device according to any one of claims 22 to 32, wherein the dynamic database module is located in the biometric terminal, or in the local network, or in the server where the static database module is located, or in In another server that is different from the server where the static database module is located.
A biometric identification system, characterized by comprising the biometric information dynamic matching device according to any one of claims 22 to 33.