CN109543391B

CN109543391B - Biological characteristic information dynamic matching method and device and biological characteristic identification system

Info

Publication number: CN109543391B
Application number: CN201811607771.1A
Authority: CN
Inventors: 李镇旭; 徐华斌; 郑耀
Original assignee: Qingdao Novelbeam Technology Co ltd
Current assignee: Qingdao Novelbeam Technology Co ltd
Priority date: 2018-12-27
Filing date: 2018-12-27
Publication date: 2022-02-01
Anticipated expiration: 2038-12-27
Also published as: CN109543391A

Abstract

The present disclosure provides a dynamic matching method for biometric information, which includes: configuring a static database, wherein the static database stores relevant data of all users, and the relevant data comprises biological characteristic information of the users; determining a user satisfying a predetermined condition as a specific user; configuring a dynamic database, and when a user meeting a preset condition is determined to be a specific user, transmitting relevant data of the specific user from the static database to the dynamic database to be stored in the dynamic database; receiving input biometric information of a specific user; and comparing the input biological characteristic information with the biological characteristic information stored in the dynamic database, and judging that the input biological characteristic information is matched with the biological characteristic information stored in the dynamic database if the input biological characteristic information is consistent with the biological characteristic information stored in the dynamic database. The disclosure also provides a dynamic data processing method, a dynamic data processing device, a biological characteristic information dynamic matching device and a biological characteristic identification system.

Description

Biological characteristic information dynamic matching method and device and biological characteristic identification system

Technical Field

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

Background

Although the feature point-based biometric identification system has high accuracy, since the similarity between extracted feature points is mathematically measured, an absolute calculation (processing) time is required to calculate the similarity. The execution time may be increased in order to improve the matching accuracy and improve the evaluation criterion.

For example, in the case of a palm vein matching system, at least 1/4000 seconds are required to compare the similarity between feature points. This is a time outside the process of Database (DB) configuration, main data input/output (I/O), data Query (Query) to authenticate users, and result transmission. The total matching time will be longer if all the time spent is considered.

In the matching system, based on 1 of Verification (Verification): 1 matching is as follows: information input → user information search → comparison → result output, which is just a comparison of the similarity of feature points. The Identification (Identification) of the user who found the corresponding biometric information among all users is: inputting biometric information of a user → comparing operation with all users, the time of the comparing operation being different based on the number of total users → outputting the result. In the field of recognition, the speed of comparison operations has a great influence on the overall system. In the case of a DB with a small total number of users (1: 10000 class, 1 being a user to be identified, 10000 being the total number of users), performance can be maximized by data processing/classification, etc. without large equipment investment. However, if the number of users is expanded to a medium/large scale (1: 50000 or more), equipment investment is required in order to ensure desired performance.

The explanation will be made based on 1/4000 seconds of the palm vein matching system. In the case of a single-core CPU, 4000 users can be recognized within 1 second, and when a four-core CPU is used, it can be developed as a parallel processing manner that runs four operations simultaneously on the four-core CPU using a multithread method. However, even if parallel processing is performed, only 16000 persons can be processed at most within 1 second. Here, it is assumed that the CPU is 100% for the matching process, but in an actual case, an Operating System (OS), a Server (Server), a database, an application program (APP), and the like consume CPU resources, so that it is impossible to identify 16000 users in a time of 1 second in practice. If a quad-core CPU is used, at least 6-8 seconds are needed to obtain a value of 1:100000 match results.

The main use of biometric technology is technology that is expected to quickly identify a user. It is mainly applied to Time Attendance (TA) for recording the Attendance record of a user and Access Control (AC) for granting an Access right to a specific place or route. In both applications there is a stream of people and congestion can occur if there is a problem or the execution is too long. When the execution time is more than 6 seconds, the execution time is long for the applications, and the comparison operation result is obtained in 1 second in the AC/TA application, so that in the AC/TA application of the medium/large-scale biological identification, the equipment is required to be added to meet the requirement.

To increase the execution speed, a manner of connecting the four-core CPUs in parallel using a server computing technique may be used. That is, there may be 4 to 16 CPUs per server by increasing the number of simultaneous executions through parallel extension of the CPU cores. As described above, the CPU operation of the server is not only for biometric comparison, but the scale of the device increases proportionally as the total number of users increases. The enlargement of the equipment implies an increase in the costs of construction and maintenance.

Particularly, in the scenes of middle/large-scale universities, hospitals, subways/railways and the like, which need to clearly authenticate whether the user is, the more people use the system, the more rapid authentication is needed, and therefore smooth operation can be guaranteed. For smooth operation, it is necessary to obtain the authentication result within 1 second, so that the construction/management cost is increased sharply. A matching system that handles large scale 1:1000000 in less than 1 second requires at least 80 quad-core CPUs, and also requires additional server systems and network devices that provide data dispersion, flow control, management.

In order to overcome the above problems, the following two approaches are roughly available in the prior art.

The first method is to store the biometric information of the user directly in the ID card or the mobile phone of the user, read the stored biometric information when authentication is required, and compare the read biometric information with the currently acquired biometric information of the user. However, the biggest problem in this method is that the biometric information held by the user needs to be transmitted through the biometric terminal, and the communication method between the ID card or the mobile phone and the biometric terminal is still slow, and errors often occur, and the transmission takes a considerable time. And may require a series of processes of authorization and encryption to wirelessly transmit important personally sensitive information, which may be intercepted by a wireless hacker if encryption or security is not guaranteed. When data encryption is performed to prevent such a situation, additional processes such as key exchange and encryption/decryption are required, and thus, execution time increases again and devices may need to be increased. In addition, if the user loses the mobile phone or the ID card, biometric authentication cannot be performed.

The second way is a technique of performing AC/TA based on the proximity of the handset terminal. The biggest problem with this approach is maximizing usability, but relatively weak security. That is, the biggest problem of the mobile phone authentication method is that since it is based on the premise that "you hold a registered mobile phone as oneself", there may be some differences from the nature of "self authentication" which is the core of the AC/TA industry.

Disclosure of 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 apparatus, a biometric information dynamic matching method, a biometric information dynamic matching apparatus, and a biometric identification system.

According to a first aspect of the present disclosure, a dynamic data processing method includes: configuring a static database, wherein the static database stores relevant data of all users; determining a user satisfying a predetermined condition as a specific user; and configuring a dynamic database, and when a user meeting a preset condition is determined to be a specific user, transmitting the relevant data of the specific user from the static database to the dynamic database to be stored in the dynamic database.

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

According to an embodiment of the present disclosure, the method further comprises: input information for the particular user is received and compared to data stored by the dynamic database that is relevant to the user.

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

According to one embodiment of the present disclosure, the predetermined user is a subscriber or a registered user.

According to a second aspect of the present disclosure, a dynamic data processing apparatus includes: the system comprises a static database module, a database management module and a database management module, wherein the static database stores relevant data of all users; the determining module is used for determining the users meeting the preset conditions as specific users; and the dynamic database module receives and stores the relevant data of the specific user from the static database when the determining module determines the user meeting the preset condition as the specific user.

According to one 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 apparatus further comprises: the receiving module is used for receiving the input information of the specific user; and the comparison module is used for comparing the input information with the relevant data of the user stored in the dynamic database.

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

According to a third aspect of the present disclosure, a biometric information dynamic matching method includes: configuring a static database, wherein the static database stores relevant data of all users, and the relevant data comprises biological characteristic information of the users; determining a user satisfying a predetermined condition as a specific user; configuring a dynamic database, and when a user meeting a preset condition is determined to be a specific user, transmitting relevant data of the specific user from the static database to the dynamic database to be stored in the dynamic database; receiving input biometric information of the particular user; and comparing the input biological characteristic information with the biological characteristic information stored in the dynamic database, and judging that the input biological characteristic information is matched with the biological characteristic information stored in the dynamic database if the input biological characteristic information is consistent with the biological characteristic information stored in the dynamic database.

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

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

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

According to one embodiment of the disclosure, the mobile terminal is based on BLE/Beacon, and periodically transmits signals, and the biometric identification terminal is used for receiving the signals transmitted by the mobile terminal.

According to one embodiment of the present disclosure, the signal transmitted by the mobile terminal includes inherent information of the mobile terminal, the inherent information includes at least one of IMEI, UUID, bluetooth address, WLAN MAC address, serial number, telephone number of the mobile terminal, and the related data of the user includes the inherent information of the mobile terminal.

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

According to one embodiment of the disclosure, the distance of each mobile terminal in the periphery is measured by a plurality of the biological feature recognition terminals, so as to determine the time and/or probability of carrying out biological recognition by the user carrying the mobile terminal.

According to one 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 biometric information dynamic matching apparatus includes: the system comprises a static database module, a database management module and a database management module, wherein the static database stores relevant data of all users, and the relevant data comprises biological characteristic information of the users; the determining module is used for determining the users meeting the preset conditions as specific users; the dynamic database module is used for transmitting the relevant data of the specific user from the static database to the dynamic database to be stored in the dynamic database when the user meeting the preset condition is determined to be the specific user; a biometric identification module that receives input biometric information of the specific user; and the comparison module is used for comparing the input biological characteristic information with the biological characteristic information stored in the dynamic database, and if the input biological characteristic information is consistent with the biological characteristic information stored in the dynamic database, the input biological characteristic information is judged to be matched.

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

According to one embodiment of the present disclosure, whether a user is in the preset position range is determined by the biometric recognition module detecting a mobile terminal carried by the user.

According to one embodiment of the disclosure, the mobile terminal is based on BLE/Beacon, and periodically transmits signals, and the biometric identification module is used for receiving the signals transmitted by the mobile terminal.

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

According to one embodiment of the disclosure, the distance of each mobile terminal in the periphery is measured by a plurality of the biological feature recognition modules, so as to determine the time and/or probability of carrying out biological recognition by the user of the mobile terminal.

According to one embodiment of the disclosure, the determining module, the biometric identification module and the comparing module are located in a biometric identification terminal.

According to one embodiment of the disclosure, the dynamic database module is located in the biometric terminal, or in the local network, or in a server where the static database module is located, or in another server different from the server where the static database module is located.

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

Drawings

The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.

FIG. 1 is a flow diagram of a dynamic data processing method according to one embodiment of the present disclosure.

Fig. 2 is a schematic diagram of a tabular form of user data according to one embodiment of the present disclosure.

FIG. 3 is a schematic diagram of a dynamic data processing apparatus according to one embodiment of the present disclosure.

FIG. 4 is a schematic diagram of a dynamic data processing apparatus according to one embodiment of the present disclosure.

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

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

Fig. 7 is a schematic diagram of a biometric terminal detecting a user's location according to one embodiment of the present disclosure.

FIG. 8 is a schematic flow chart diagram for configuring a dynamic database according to one embodiment of the present disclosure.

Fig. 9 is a flow diagram of a biometric approach according to one embodiment of the present disclosure.

Detailed Description

The present disclosure will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limitations of the present disclosure. It should be further noted that, for the convenience of description, only the portions relevant to the present disclosure are shown in the drawings.

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

First, fig. 1 shows a dynamic data processing method according to a 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 the dynamic database.

In step S10, the static database is configured such that the relevant data of all users are stored in the static database. In the present disclosure, the static database refers to a database in which relevant data of all registered users are stored.

Here, taking the biometric application as an example, the related data may include basic information and biometric information of the user, and may further include unique information of a mobile terminal owned by the user, and these data include, for example: a user name, an identification number, a telephone number, an IMEI (international mobile terminal identity) of the mobile terminal, a UUID (universally unique identity), a bluetooth address, a WLAN MAC address, a terminal serial number, biometric information, etc. A user can register a plurality of information and a plurality of mobile terminals if necessary, and there is no limitation on the type and number of devices to be registered, and for example, mobile terminals such as a portable phone, a smart watch, a tablet, and the like may be used.

Fig. 2 shows a tabular form of user data stored in a static database. Those skilled in the art will appreciate that although the user shown in fig. 2 may correspond to unique information for a plurality of registered mobile terminals.

When logging in the relevant data of the user, the basic information of the user can be input through the input terminal, the mobile terminal information of the user is extracted and input, and the biological characteristic information of the user is collected through the biological identification terminal to form a corresponding list form.

In step S20, it is determined whether a specific user is present, wherein the determination may be made in a manner of whether a predetermined condition is satisfied. For example, a mobile terminal carried by a user is monitored by a biometric terminal or other form of receiver for presence in a predetermined location range, and if so, the user is determined to be a particular user. For example, when used in a subway authentication system, all the user information is already registered subway users, which may be in excess of 500 ten thousand or even 1000 ten thousand, and when some users enter a predetermined identification range, these users are determined as specific users. The selection of the specific user can also be based on the reservation user who reserves the event at a specific time (today, tomorrow, afterday), so that the reservation user is determined as the specific user. The registered user may be a specific user, for example, in a hotel, a hospital, an exhibition, or the like, and the registered user may be a specific user.

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

In the present disclosure, a dynamic database refers to a database that receives and stores relevant data of a specific user stored in static data. The dynamic database will have varying contents depending on the particular user. In particular, when the user previously identified as the specific user does not satisfy the predetermined condition any more, the user cannot be continuously identified as the specific user, and the data related to the user stored in the dynamic database can be deleted. The deleting operation may be real-time or delayed for a period of time, and may be set by those skilled in the art according to actual conditions.

According to the method, for a medium-large static database, such as a million-level database, the processing speed can be effectively increased by establishing the dynamic database according to a specific user and processing data for the specific user based on the dynamic database. Since the number of users who satisfy the condition is generally ten thousand or less. Thus, the data processing can be completed by a small-scale dynamic database, and the speed is greatly increased under the condition of not increasing the equipment investment.

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

According to a second embodiment of the present disclosure, there is also provided a dynamic data processing apparatus corresponding to the method of the first embodiment. This is explained in detail below with reference to fig. 3.

It should be noted at the outset that separate different modules described in this disclosure or shown in the drawings are not meant to be implemented in different physical devices, nor are combined physical modules meant to be implemented in the same physical device. The following division of the respective modules is merely divided according to the implemented functions, irrespective of the division of the actual physical device.

As shown in fig. 2, the dynamic data processing device 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 relevant data for all users. The form and storage of the data may be the same as in the first embodiment. The determining module 3 is configured to determine a user meeting a predetermined condition as a specific user, and the predetermined condition and the determining manner may be the same as those of the first embodiment. The dynamic database module 2 is used for receiving and storing the relevant data of the specific user from the static database module 3 according to the specific user determined by the determination module 3. The dynamic database module 2 may operate in the same way as in the first embodiment, for example its data may be deleted from the dynamic database module 2 when a specific user is no longer currently a specific user before.

The dynamic data processing device may further comprise 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 step S40 described above. The comparing module 5 may be configured to perform the step S50.

In the context of biometric authentication, for example, the static database module 3 is used to store relevant data for all users, which is not used directly for biometric comparison, but merely serves as a data center for all users. The dynamic database module 2 is changed according to the change of a specific user, and thus can be regarded as a temporary database module. The dynamic database module 2 may be located in the biometric terminal, may be located on a local network, may 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 configuration of the dynamic database module 2. The one dynamic database module may also be formed for a plurality of 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 one-to-one or more to the determining module/comparing module. For example, in the field of biometrics, a plurality of biometrics terminals may be provided depending on the actual application location.

To better illustrate the versatility of the arrangement of the various modules of the present disclosure. Taking the biometric application as an example, the above-described dynamic database module 2, determination module 3, reception module 4 and comparison module 5 may all be implemented in a biometric terminal, while the static database module 1 may be implemented in a 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 flow chart of a method of dynamic matching of 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 users. In step S200, a user who satisfies a predetermined condition is determined as a specific user. In step S300, the dynamic database is configured, and when a user satisfying a predetermined condition is determined to be a specific user, relevant data of the specific user is transmitted from the static database to the dynamic database to be stored in the dynamic database. In step S400, input biometric information of a specific user is received; and comparing the input biometric information with the biometric information stored in the dynamic database in step S500, and determining a match if the two are identical. The specific implementation manners of steps S100 to S500 in the present embodiment may be the same as or similar to steps S10 to S50 in the first embodiment, respectively.

In addition, according to a fourth embodiment of the present disclosure, there is also provided a biometric information dynamic matching apparatus including: the static database module stores relevant data of all users, and the relevant data comprises biological characteristic information of the users; the determining module is used for determining the users meeting the preset conditions as specific users; the dynamic database module is used for transmitting relevant data of a specific user from the static database to the dynamic database to be stored in the dynamic database when the user meeting the preset condition is determined to be the specific user; a biometric identification module that receives input biometric information of a specific user; and the comparison module is used for comparing the input biological characteristic information with the biological characteristic information stored in the dynamic database, and if the input biological characteristic information is consistent with the biological characteristic information stored in the dynamic database, the input biological characteristic information is judged to be matched.

The third and fourth embodiments will be described below based on an example of a manner in which the user determination is made by a mobile terminal carried by the user.

The static database is required to register and store the unique information of the mobile terminal, such as the above-mentioned phone number, IMEI (international mobile terminal identity) of the mobile terminal, UUID (universally unique identity), bluetooth address, WLAN MAC address, terminal serial number, and the establishment relationship of the information corresponding to the user name, identification number and biometric information. As described above, one user may correspond to a plurality of mobile terminals.

The biometric identification terminal determines whether the registered mobile terminal is within a predetermined location range. Here, it can be implemented by the biometric recognition terminal scanning and detecting the proximity of the mobile terminal. The present disclosure is applied to a proximity detection technology of a mobile terminal described in the related art. The bluetooth technology before version 4.0 requires Pairing (Pairing) between two devices, which means that only identifiable and authenticated devices can communicate properly. However, since bluetooth 4.0 and later versions add BLE (bluetooth low energy), Broadcasting (Broadcasting) makes it possible to search and identify peripheral devices without pairing, to transmit and receive simple information, to measure communication response time, and to estimate physical distance information from devices. Based on this, a technology that can be used like a small flag is Beacon (Beacon). A typical example of using BLE technology is the recent millet internet of things (IOT) device, and when purchasing a new device registration, the process of searching for the device using the BLE function of the mobile phone, reading the device information and incorporating it into the user's environment is very simple. In the past, to incorporate new devices in a WIFI environment, the process of entering and registering network information on the devices had to be completed, and for this purpose, other input devices and display screens were required. But BLE/Beacon can simply search these parts in a broadcast manner, which is very low power consuming and now can easily utilize small sensors without buttons and inexpensive devices. Beacon can take various forms such as ibeacon (apple) and uribeacon (google), and the inherent information used may vary depending on the use of the mobile terminal.

A mobile terminal using BLE/Beacon technology may continuously and periodically transmit a signal to the outside in the form of a broadcast Packet (Advertising Packet), transmit intrinsic information of the mobile terminal through the broadcast Packet, and the biometric terminal operates as a receiver to receive the intrinsic 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 extended/concentrated by various methods. The core capability here is that the biometric terminal confirms the number of surrounding mobile terminals by this method, and can create a preliminary list of users who may attempt biometric identification. For example, a detection environment is constructed by a plurality of biometric terminals, as shown in fig. 6. Further, when a plurality of biometric terminal terminals are mounted as receivers as in the manner of fig. 7, the position of each mobile terminal can be measured, so that the biometric authentication attempt time and probability can be predicted with reference to the position. C1 to C4 in fig. 7 denote first to fourth biometric terminals, and d1 to d4 denote distances of the mobile terminal from the respective biometric terminals.

With the above-described generated preliminary list, the biometric terminal or other device can dynamically configure a database required for biometric authentication, i.e., a dynamic database. Of course, the dynamic database may be constructed based on only nearby users.

For this dynamic configuration, description will be made below with reference to fig. 8. The dynamic configuration refers to a configuration in which a dynamic database is changed on the basis of an existing dynamic database.

The method for dynamic configuration comprises the following steps:

in step S301, the biometric recognition terminal detects surrounding mobile terminals and collects mobile terminal information, which may be detected and acquire device information through the BLE/Beacon technology.

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

Step S303, when the certain or some mobile terminal information stored in the dynamic database is not included in the collected mobile terminal information, the certain or some mobile terminal information stored in the dynamic database is deleted. This may indicate that the user holding the mobile terminal was previously within the predetermined location but is not currently within the predetermined location, which may not be subject to subsequent biometric authentication, and therefore for this type of user, their information may be deleted from the dynamic database.

Step S304, when the mobile terminal information stored in the dynamic database does not include some or some collected mobile terminal information, it is determined that a new mobile terminal is detected. That is, the user holding the mobile terminal has not been within the predetermined position range before, but has been within the predetermined position range so far, which may be to perform the biometric authentication later.

In step S305, for the user holding the mobile terminal determined in step S304, a query may be made in the static database using the information of the detected new mobile terminal to find data information matching the user.

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

In step S307, the dynamic database receives and adds information of the user of the new mobile terminal. Such that the dynamic database stores this information for later possible biometric authentication.

Fig. 9 shows a flowchart when the user performs biometric authentication. First, a user inputs biometric information at a biometric terminal. And comparing the biological identification information received by the terminal with the biological identification information stored in the currently configured dynamic database, if the biological identification information is consistent with the biological identification information, the verification is passed, and if the biological identification information is inconsistent with the biological identification information, the verification is not passed.

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

According to the embodiment of the present disclosure, a user can quickly use a desired service using only biometric identification without operating a mobile terminal. The card does not need to be taken out independently, and the mobile phone does not need to be opened and the application program does not need to be operated. And also has the effect of cross-verifying the mobile terminal and the biometric information of the user without any notification by the user.

The method has the advantages of not only accelerating the execution speed of the biological identification and reducing the equipment investment cost, but also maximizing the biological identification authentication performance. Since the biometric technology uses a probability-based technology to compare feature points due to biological information that changes each time a biometric is acquired, it is difficult to realize a 0% error rate technology. To overcome these limitations, there are 2-factor (two-factor) authentication methods. This is because when various biometric authentication means such as fingerprint + palm vein, fingerprint + face, and palm vein + face are used in combination, the probability of authentication failure is reduced to a × B (A, B are failure probabilities of the two modes, respectively). The method is 2-factor authentication based on mobile terminal technology and biometric technology mentioned in the prior art. That is, the existing technology is to hold the assumption that it is "oneself" that the terminal/card is owned, and the biometrics authentication has an error probability of FAR (authentication rate)/FRR (true rate), so when these two combinations become a & B, errors that may occur in both methods can be minimized. This is a method of proving "certainly me with this card/terminal", which can greatly improve security.

Finally, the description is given under the condition that the 2-factor cannot be authenticated, that is, the condition that the mobile terminal is not nearby or lost. In this case, other mobile terminals may be used to input user information before biometric identification is used. Although the inherent identification number such as the personal identification number or the mobile phone number may be used, information such as a name and a date of birth, which may be duplicated, may be input. The number of users with the same name and the same date of birth is limited and a biometric comparison operation may be performed by inputting information into a dynamic database and transmitting the biometric information of the user from a static database to the dynamic database. Thus, the inputted information is not directly deleted in the dynamic database, and the continuous use in a specific period can be maintained.

In accordance with the present disclosure, actual biometric comparison operations of a large database comprising more than a million users may be run from less than a million small databases. Moreover, the biological identification can be rapidly carried out without other equipment investment. For higher performance, the dynamic database may also be built by another computer or software for comparison. Since these devices can handle more than 10000 persons in 1 second even under normal computer performance, the existing devices requiring a medium/large server system are inexpensive and advantageous.

In addition, according to the present disclosure, every time a user is newly detected in a terminal/computer constituting a dynamic database, biometric data must be inquired in a static database, and the overall amount of network communication seems to increase. However, assuming that all users in proximity have potential biometric and biometric terminals for the purpose of proximity, the total traffic is the same as compared using the static database directly. The only difference is whether the data is uploaded to a static database or downloaded to a dynamic database. Furthermore, if the biometric comparison is performed in the home network or the terminal, an additional communication volume is not required and is not affected by other networks. Ultimately, the user can experience much faster than in the past.

In the description herein, reference to the description of the terms "one embodiment/mode," "some embodiments/modes," "example," "specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment/mode or example is included in at least one embodiment/mode or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to be the same embodiment/mode or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, the various embodiments/aspects or examples and features of the various embodiments/aspects or examples described in this specification can be combined and combined by one skilled in the art without conflicting therewith.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

It will be understood by those skilled in the art that the foregoing embodiments are merely for clarity of illustration of the disclosure and are not intended to limit the scope of the disclosure. Other variations or modifications may occur to those skilled in the art, based on the foregoing disclosure, and are still within the scope of the present disclosure.

Claims

1. A dynamic matching method for biological characteristic information is characterized by comprising the following steps:

configuring a static database, wherein the static database stores relevant data of all users, and the relevant data comprises biological characteristic information of the users;

determining a user meeting a preset condition as a specific user, wherein the preset condition is a preset position range, determining whether the user is in the preset position range by detecting a mobile terminal carried by the user, and taking the user in the preset position range as the specific user;

configuring a dynamic database, when a user meeting a preset condition is determined to be a specific user, transmitting relevant data of the specific user from the static database to the dynamic database to be stored in the dynamic database, and when the specific user no longer meets the preset condition, deleting the relevant data of the specific user from the dynamic database; configuring the dynamic database includes: the biological characteristic recognition terminal detects surrounding mobile terminals and collects mobile terminal information; comparing and judging the collected mobile terminal information with the mobile terminal information stored in the dynamic database; when certain or some mobile terminal information stored in a dynamic database is not contained in the collected mobile terminal information, deleting the certain or some mobile terminal information stored in the dynamic database, when the mobile device information stored in the dynamic database does not contain the certain or some collected mobile information, regarding that a new mobile device is detected, using the new mobile device information, inquiring in a static database, transmitting relevant information including biological identification information of a user of the new mobile device from the static database, and receiving and adding the relevant information including the biological identification information of the user of the new mobile terminal by the dynamic database; and

receiving input biological characteristic information of the specific user, receiving the input biological characteristic information of the specific user through a biological characteristic identification terminal, wherein the preset position range is a preset distance range from the biological characteristic identification terminal; comparing the input biological characteristic information with the biological characteristic information stored in the dynamic database, and judging that the input biological characteristic information is matched with the biological characteristic information stored in the dynamic database if the input biological characteristic information is consistent with the biological characteristic information stored in the dynamic database;

the method comprises the steps that a plurality of biological characteristic recognition terminals are arranged to confirm the number of mobile terminals around the biological characteristic recognition terminals, and the distance of each mobile terminal around the biological characteristic recognition terminals is measured through the biological characteristic recognition terminals, so that the time and/or probability of carrying out biological recognition by a user of the mobile terminal are/is determined.

2. The method according to claim 1, wherein the mobile terminal is a BLE/Beacon-based mobile terminal and the mobile terminal periodically transmits signals, and wherein the biometric terminal is configured to receive the signals transmitted by the mobile terminal.

3. The method according to claim 2, wherein the signal transmitted by the mobile terminal comprises inherent information of the mobile terminal, the inherent information comprising at least one of IMEI, UUID, bluetooth address, WLAN MAC address, serial number, telephone number of the mobile terminal, and the related data of the user comprises the inherent information of the mobile terminal.

4. A biometric information dynamic matching apparatus, comprising:

the system comprises a static database module, a database management module and a database management module, wherein the static database stores relevant data of all users, and the relevant data comprises biological characteristic information of the users;

the system comprises a determining module, a judging module and a judging module, wherein the determining module determines a user meeting a preset condition as a specific user, the preset condition is a preset position range, whether the user is in the preset position range is determined by detecting a mobile terminal carried by the user, and the user in the preset position range is taken as the specific user;

the dynamic database module is used for transmitting the relevant data of the specific user from the static database to the dynamic database to be stored in the dynamic database when the user meeting the preset condition is determined to be the specific user, and deleting the relevant data of the specific user from the dynamic database when the specific user no longer meets the preset condition; configuring the dynamic database module, including: the biological characteristic recognition terminal detects surrounding mobile terminals and collects mobile terminal information; comparing and judging the collected mobile terminal information with the mobile terminal information stored in the dynamic database; when the certain or some mobile terminal information stored in the dynamic database is not contained in the collected mobile terminal information, deleting the certain or some mobile terminal information stored in the dynamic database, and when the mobile device information stored in the dynamic database does not contain the certain or some collected mobile information, regarding that a new mobile device is detected, using the new mobile device information to inquire in the static database, transmitting the relevant information including the biological identification information of the user of the new mobile device from the static database, and receiving and adding the relevant information including the biological identification information of the user of the new mobile terminal by the dynamic database;

the biological characteristic recognition module is used for receiving input biological characteristic information of the specific user and detecting a mobile terminal carried by the user through the biological characteristic recognition module to determine whether the user is in the preset position range; and

the comparison module is used for comparing the input biological characteristic information with the biological characteristic information stored in the dynamic database, and if the input biological characteristic information is consistent with the biological characteristic information stored in the dynamic database, the input biological characteristic information is judged to be matched with the biological characteristic information stored in the dynamic database;

the system comprises a plurality of biometric identification modules, a plurality of comparison modules and a plurality of biometric identification modules, wherein the biometric identification modules are arranged to confirm the number of mobile terminals around the biometric identification modules, the plurality of biometric identification modules are used for measuring the distance of each mobile terminal around the biometric identification modules, so that the time and/or probability of biometric identification of a user carrying the mobile terminal are determined, and the determination modules, the biometric identification modules and the comparison modules are positioned in the biometric identification terminals.

5. The apparatus of claim 4, wherein the mobile terminal is a BLE/Beacon-based mobile terminal and the mobile terminal periodically transmits the signal, and wherein the biometric module is configured to receive the signal transmitted by the mobile terminal.

6. The apparatus of claim 5, wherein the signal transmitted by the mobile terminal comprises inherent information of the mobile terminal, the inherent information comprising at least one of an IMEI, a UUID, a bluetooth address, a WLAN MAC address, a serial number, a phone number of the mobile terminal, and the related data of the user comprises the inherent information of the mobile terminal.

7. An arrangement according to claim 4, characterized in that the dynamic database module is located in the biometric terminal, or in the local network, or in a server where the static database module is located, or in another server than the server where the static database module is located.

8. A biometric identification system, characterized by comprising a biometric information dynamic matching apparatus according to any one of claims 4 to 7.