WO2020135065A1

WO2020135065A1 - User information management method and apparatus, and identification method and apparatus

Info

Publication number: WO2020135065A1
Application number: PCT/CN2019/124785
Authority: WO
Inventors: 简伟明; 皮爱平; 梁华贵; 黄飞鹰; 陈秋榕
Original assignee: 巽腾(广东)科技有限公司
Priority date: 2018-12-26
Filing date: 2019-12-12
Publication date: 2020-07-02
Also published as: CN113302897A; CN109639816A

Abstract

Provided are a user information management method and apparatus, and an identification method and apparatus. The user information management method comprises: sampling and tracking a trajectory of a user to obtain position information of the user, wherein the position information carries account information; determining, according to the position information, the current grid area where the user is located; acquiring user information corresponding to the account information, wherein the user information comprises mode information; and updating, according to the mode information, the user information in a target grid server corresponding to the current grid area. According to the present application, position information of a user is sampled and tracked, a grid area where the user is located is updated in a timely manner, and user information is updated in a timely manner in a grid server corresponding to the grid area, thereby improving the real-time execution of grid management.

Description

User information management method, identity recognition method and device

Cross-reference of related applications

This application requires the priority of the Chinese patent application with the application number 201811608292.1 and the title of "User Information Management Method, Identity Recognition Method and Device" submitted to the Chinese Patent Office on December 26, 2018, the entire contents of which are incorporated by reference In this application.

Technical field

This application relates to the field of Internet technology, and in particular, to a user information management method, an identity recognition method, and a device.

Background technique

At present, the management of user information through grid management means can improve the efficiency of user information management. Among them, grid management is based on the principles of territorial management, geographical layout and current status management, dividing the jurisdiction into several grid-like units, and implementing dynamic and comprehensive management of each grid. However, when user information is managed through the grid, the user information in the grid is not updated in time, which results in poor real-time performance of grid management and is not conducive to the further application of grid management.

Summary of the invention

In view of this, the purpose of this application is to provide a user information management method, an identity recognition method and a device, which can effectively improve the real-time performance of rasterization management.

In a first aspect, an embodiment of the present application provides a user information management method, including: sampling and tracking a user's trajectory to obtain the user's location information; wherein, the location information carries account information; and determining the user's location based on the location information Obtain the user information corresponding to the account information; wherein, the user information includes pattern information; update the user information to the target grid server corresponding to the current grid area according to the pattern information.

With reference to the first aspect, the embodiments of the present application provide a first possible implementation manner of the first aspect, wherein the step of updating the user information to the target grid server corresponding to the current grid area according to the mode information includes: In the target grid server corresponding to the current grid area, obtain each business information located in the current grid area; establish an authorization relationship table based on the mode information and each business information; wherein, the authorization relationship table includes correspondence between account information and business information Relationship; update the authorization relationship table and user information to the target grid server.

With reference to the first possible implementation manner of the first aspect, the embodiments of the present application provide a second possible implementation manner of the first aspect, where the above-mentioned location information includes location data corresponding to the current sampling time and the previous time of the current sampling time The location data corresponding to a sampling time; the steps of updating the authorization relationship table and user information to the target grid server include: judging whether the grid area where the previous sampling time is located is the same as the current grid area; if it is, Update the authorization relationship table and the current sampling time in the user information in the target grid server; if not, determine whether the grid server corresponding to the grid area where the previous sampling time is located is the same as the target grid server; If the grid server corresponding to the grid area at the same location is the same as the target grid server, update the current sampling time and the current grid area information in the authorization relationship table and user information in the target grid server; When the grid server corresponding to the grid area is different from the target grid server, the authorization relationship table and user information are migrated from the grid server corresponding to the grid area where the previous sampling time is located to the target server. With reference to the second possible implementation manner of the first aspect, the embodiments of the present application provide a third possible implementation manner of the first aspect, wherein the grid server corresponding to the grid area where the current sampling time is located is When the target grid servers are different, the steps of migrating the authorization relationship table and user information from the grid server corresponding to the grid area at the previous sampling time to the target server include: the grid area corresponding to the current sampling time When the raster server is different from the target raster server, a user object is created in the target server based on the user information, and the authorization relationship table and the user information are associated and saved to the user object; the grid area corresponding to the previous sampling time corresponds to The user information of the user is deleted from the raster server.

With reference to the first aspect, the embodiments of the present application provide a fourth possible implementation manner of the first aspect, wherein the above method further includes: determining whether the user's location information is received within a preset duration; if not, in the specified The user information corresponding to the user is deleted from the grid server.

With reference to the first aspect, the embodiments of the present application provide a fifth possible implementation manner of the first aspect, wherein the above method further includes: determining whether the user density of the current grid area is greater than a first preset threshold; if so, based on Generate the first positioning request under the user density; send the first positioning request to the user's associated terminal, so that the associated terminal is based on the first positioning data returned by the first positioning request; and based on the first positioning data, determine the target child where the user is located Grid area; wherein, the current grid area is dynamically divided into multiple sub-grid areas; based on the target sub-grid area where the user is located, user information is updated in the target grid server corresponding to the target sub-grid area.

With reference to the fifth possible implementation manner of the first aspect, the embodiments of the present application provide a sixth possible implementation manner of the first aspect, wherein the above method further includes: determining whether the user density of the current sub-grid area is less than the first Two preset thresholds; if it is, generate a second positioning request based on the user density; send the second positioning request to the user's associated terminal, so that the associated terminal based on the second positioning data returned by the second positioning request; according to the second positioning Data, determine the target grid area where the user is located; based on the target grid area where the user is located, update the user information in the target grid server corresponding to the target grid area.

In a second aspect, an embodiment of the present application also provides an identification method, including: updating the grids using the user information management method according to any one of the first aspect to the sixth possible implementation manner of the first aspect User information in the server; when receiving a business request sent by a business terminal, determine the grid area where the business terminal is located according to the business request; where the business request includes living target biometric information, business information and business of the business terminal The location information of the terminal; in the grid server corresponding to the grid area where the business terminal is located, obtain the user information of each authorized user in the grid area where the business terminal is located according to the authorization relationship table; find the information corresponding to each user information Biometric information; biometric matching based on the biometric information of the target object and the biometric information corresponding to each user information to obtain a biometric matching result; complete the identity recognition according to the biometric matching result.

With reference to the second aspect, the embodiments of the present application provide a first possible implementation manner of the second aspect, wherein the step of completing the identity recognition based on the biometric matching result includes: determining whether the biometric matching result is a successful match; if Yes, determine whether the matched user is unique; when the matched user is unique, determine the matched user as the target object, and complete the identification; when the matched user is not unique, to the associated terminal of each matched user Send an identity confirmation request; when receiving the identity confirmation information sent by the associated terminal of each user who successfully matches the identity confirmation request, judge the identity confirmation information sent by each associated terminal to obtain a judgment result; complete the identity recognition according to the judgment result.

In a third aspect, an embodiment of the present application further provides a user information management device, including: a tracking module configured to sample and track a user's trajectory to obtain the user's location information; wherein, the location information carries account information; and the area is determined The module is configured to determine the current grid area where the user is based on the location information; the information acquisition module is configured to acquire the user information corresponding to the account information; wherein, the user information includes mode information; the update module is configured to configure the user based on the mode information The information is updated to the target grid server corresponding to the current grid area.

According to a fourth aspect, an embodiment of the present application further provides an apparatus for identity recognition, including: an information update module configured to adopt user information management according to any one of the first aspect to the sixth possible implementation manner of the first aspect Method to update user information in each grid server; the area determination module is configured to determine the grid area where the business terminal is located according to the business request when receiving the business request sent by the business terminal; wherein, the business request includes the target object’s Living biometric information, business information of the business terminal, and location information of the business terminal; the user information acquisition module is configured to obtain the location of the business terminal according to the authorization relationship table in the grid server corresponding to the grid area where the business terminal is located User information of each authorized user in the grid area; feature information search module, configured to find biometric information corresponding to the user information of each authorized user; matching module, configured to be based on the target biological biometric information and each authorized user The biometric information corresponding to the user information is subjected to biometric matching to obtain a biometric matching result; the identification module is configured to complete identification according to the biometric matching result.

According to a fifth aspect, an embodiment of the present application further provides a server, including a processor and a memory; a computer program is stored on the memory, and when the computer program is executed by the processor, the sixth possibility as described in the first aspect to the first aspect is executed The method according to any one of the embodiments, or performing the method according to the second aspect to the first possible embodiment of the second aspect.

According to a sixth aspect, the embodiments of the present application further provide a computer storage medium configured to store computer software instructions used in any method of the first aspect to the sixth possible implementation manner of the first aspect, or to be executed as the second Aspect to the method of the first possible implementation of the second aspect.

The embodiments of the present application bring the following beneficial effects:

The user information management method and device provided in the embodiments of the present application obtain the user's location information by sampling and tracking the user's trajectory, and then determine the current grid area where the user is located, and then obtain the user's user information, and according to the user information The mode information in updates the user information to the grid server corresponding to the current grid area. In this application, the user's location information is sampled and tracked to update the grid area where the user is located in a timely manner, and the user information is updated in the grid server corresponding to the grid area in time, thereby improving the real-time performance of grid management.

The identification method and device provided in the embodiments of the present application update the user information in the grid server through the foregoing user information management method and device, and determine the grid area where the service terminal is located when receiving the service request, and then In the grid server corresponding to the grid area where the service terminal is located, the user information of each authorized user in the grid area is searched according to the authorization relationship table, and the biometric information corresponding to each user information is obtained, and the living organism of the target object The feature information is matched with the biometric information of each authorized user to complete the identification. The embodiment of the present application effectively reduces the number of user information obtained by acquiring the user information of each authorized user in the corresponding grid area, improves the speed and accuracy of biometrics, and thereby shortens the time used for identity recognition to achieve high efficiency and accuracy To complete the purpose of identity recognition, in addition, the identity recognition based on biometric information of living body can effectively improve the security of identity recognition.

Other features and advantages of the present application will be explained in the subsequent description, and partly become obvious from the description, or be understood by implementing the present application. The purpose and other advantages of the present application are achieved and obtained by the structure particularly pointed out in the description, claims and drawings.

In order to make the above-mentioned objects, features and advantages of the present application more obvious and understandable, preferred embodiments are described below in conjunction with the accompanying drawings, which are described in detail below.

BRIEF DESCRIPTION

In order to more clearly explain the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings required for the specific embodiments or the description of the prior art. Obviously, the appended The drawings are some embodiments of the present application. For those of ordinary skill in the art, without paying any creative work, other drawings can be obtained based on these drawings.

FIG. 1 is a flowchart of a user information management method provided by an embodiment of this application;

2 is a schematic diagram of a grid area provided by an embodiment of the present application;

3 is a schematic diagram of a division of a grid area provided by an embodiment of the present application;

4 is a schematic diagram of dividing a sub-grid area provided by an embodiment of the present application;

5 is a schematic flowchart of an identification method provided by an embodiment of the present application;

6 is a schematic structural diagram of a system provided by an embodiment of the present application;

7 is a schematic structural diagram of a user information management device according to an embodiment of the present application;

8 is a schematic structural diagram of an identity recognition device provided by an embodiment of the present application;

9 is a schematic structural diagram of a server provided by an embodiment of the present application.

detailed description

To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be described clearly and completely in conjunction with the drawings. Obviously, the described embodiments are part of the embodiments of the present application, but not all of them.的实施例。 Examples. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without making creative efforts fall within the protection scope of the present application.

At present, when user information is managed through the grid, the real-time information of each user in the grid is poor, which is not conducive to the further application of grid management. Based on this, the user information management method, identity recognition method and device provided in the embodiments of the present application can effectively improve the real-time nature of user information in each grid area.

To facilitate understanding of this embodiment, firstly, a user information management method disclosed in the embodiments of the present application will be described in detail. Refer to the flowchart of a user information management method shown in FIG. 1. The method includes the following steps:

Step S102: Sampling and tracking the user's trajectory to obtain the user's location information.

It can be understood that users generally carry associated terminals such as mobile phones, and the location information of the users can be obtained by receiving positioning information sent by the associated terminals. Specifically, global satellites can be assisted through BDS (BeiDou Navigation, Satellite System), GPS (Global Positioning System, Global Positioning System), LBS (Location Basement Service, Base Station Location), AGPS (Assisted Global Positioning System) Positioning system), GSM (Global System for Mobile Communications), IP (Internet Protocol) address positioning, WIFI (Wireless Wireless Fidelity, mobile hotspot) and gyroscope positioning and other positioning technologies, Track the user's trajectory to obtain the user's location information. Among them, the positioning accuracy of AGPS is low, while the positioning accuracy of GPS is high. Further, the associated terminal may also be a personal mobile device such as a notebook computer, a tablet computer, a smart watch, a smart bracelet, smart glasses, smart earplugs, and a smart button-type device. It can be understood that when the user is sampled and tracked by receiving the location information sent by the associated terminal, the location information will carry the associated terminal ID (Identification, identification) or the user's account information. At the same time, carrying the associated terminal ID or account information is beneficial to quickly find the corresponding user information.

Step S104: Update the current grid area where the user is at the current sampling time according to the location information.

Among them, the grid is a further form of the grid, which can directly express the position information and determine the grid area corresponding to the position coordinates. The grid area is obtained by dividing in advance. The embodiments of the present application further provide a method for dividing the grid area. Method, the method includes the following steps: first

(1) Establish a two-dimensional plane coordinate system.

Specifically, the X and Y two-dimensional coordinate axes are established on the ground.

(2) Divide an area into several units.

Set the units of the X-axis and Y-axis to one kilometer, that is, divide every one kilometer into a unit, and you can get several units in the area.

Taking an area of 2000 kilometers in the horizontal direction and 1500 kilometers in the vertical direction as an example, it is necessary to divide 2000*1500=3000000 grids.

(3) Determine a cell as a grid area, set the grid area in a grid server, and the grid server manages the grid.

Among them, in order to improve the utilization rate of the grid server, multiple grid areas can be set in one grid server. For example, take an area of 2000 kilometers in the horizontal direction and 1500 kilometers in the vertical direction as an illustration. If divided by 500 kilometers, the horizontal division is 4 and the vertical division is 3, a total of 12 small areas, as shown in Figure 2 A schematic diagram of a grid area shown, a region is divided into multiple units by the above method, and a unit is used as a grid area, that is, grid area 1, grid area 2, grid area 3, grid Area 4, grid area 5, grid area 6, grid area 7, grid area 8, grid area 9, grid area 10, grid area 11, and grid area 12. In one embodiment, the above 12 grid regions may be deployed in the same grid server or multiple grid servers. Preferably, the user density of each grid area is calculated, and a corresponding grid server is deployed for each grid area according to the user density.

Step S106: Acquire user information of the user corresponding to the account information.

In order to reduce the time taken to obtain user information, user information can be obtained by retrieving the user's account information or associated terminal ID from each grid server. In another embodiment, the aforementioned location information includes the location data corresponding to the current sampling time and the location data corresponding to the previous sampling time at the current sampling time, and the location data corresponding to the previous sampling time is used to determine that the user is sampling at the previous sampling time. The grid area at the moment, so as to find the user information of the user in the grid server corresponding to the grid area. The user information may include the ID number of the user equipment, user category information, user coordinate type, user current coordinate data, grid area where the user is located, and coordinate data update time. Specifically, the user coordinate type may be AGPS or GPS.

In step S108, the user information is updated to the target grid server corresponding to the current grid area according to the mode information.

Among them, the model information can be used to establish the authorization relationship table between the user and each service server, and the authorization relationship table and the user information can be associated and saved to the target grid server. The business server may be a merchant server or an identity authentication server. Taking the business server as a merchant server as an example, since a merchant includes at least one sub-merchant and a sub-merchant includes at least one merchant terminal, all merchant terminals of each merchant belong to the merchant The merchant system of the merchant, wherein the merchant terminal may be configured to initiate a payment operation to the user. Specifically, the mode information may include a specified association mode and all association modes. When the user's mode information is the specified association mode, when establishing the authorization relationship table, only the user and the specified merchant server in the grid area where the user is located are established. Authorization relationship table; when the user's mode information is all associated modes, an authorization relationship table is established between the user and each merchant server in the grid area where the user is located.

It can be understood that, since at least the sampling time (that is, the aforementioned coordinate data update time) has changed in the user information, the corresponding information should also be changed in time in the target grid server corresponding to the current grid area.

Specifically, when the grid area where the user is currently located and the grid area where the previous sampling time is located are the same grid area, only the coordinate data and coordinate data update time need to be updated in the target grid server; when the user is currently The grid area is different from the grid area at the previous sampling time, but if the grid area currently located and the grid area at the previous sampling time belong to the same grid server, only the grid server (that is, the , The target grid server) changes the grid area, coordinate data and coordinate data update time of the user; when the user’s current grid area is different from the grid area at the previous sampling time, and the current grid area If the grid area in the previous sampling time does not belong to the same grid server, the user information in the grid server corresponding to the grid area in the previous sampling time is migrated to the target grid server, and the user location is updated Grid area, coordinate data and coordinate data update time. In another embodiment, if the position data in the previous sampling time is (0, 0), the user is a newly added user, and the user information of the user may be directly updated to the target grid server.

The user information management method provided in the embodiment of the present application obtains the user's location information by sampling and tracking the user's trajectory, and then determines the current grid area where the user is located, and then obtains the user's user information, and according to the user information The mode information updates the user information to the grid server corresponding to the current grid area. In this application, the user's location information is sampled and tracked to update the grid area where the user is located in a timely manner, and the user information is updated in the grid server corresponding to the grid area in time, thereby improving the real-time performance of grid management.

In order to facilitate the understanding of the above embodiments, the embodiments of the present application further provide a step of updating user information to the target grid server corresponding to the current grid area according to the mode information. The method includes:

(1) In the target grid server corresponding to the current grid area, obtain each business information located in the current grid area.

It is understandable that when the identity recognition is completed based on grid management, the identity recognition can be completed only when the user is within a certain range (usually within 2 meters) of the service terminal, so it is preferable to obtain the user’s location in the grid area. Business information.

(2) According to the model information and various business information, establish an authorization relationship table.

The authorization relationship table includes the correspondence between account information and business information. When the user's mode information is the specified association mode, when creating the authorization relationship table, only the authorization relationship table between the user and the specified merchant server in the grid area is established; when the user's mode information is all association modes, it is established Authorization relationship table between the user and each merchant server in the grid area.

(3) Update the authorization relationship table and user information to the target grid server.

Specifically, first determine whether the grid area where the previous sampling time is located is the same as the current grid area. If so, update the current sampling time in the authorization relationship table and user information in the target grid server; if not, determine Whether the grid server corresponding to the grid area at the previous sampling time is the same as the target grid server, and when the grid server corresponding to the grid area at the current sampling time is the same as the target grid server, in the target grid The server updates the authorization relationship table and the current sampling time and current grid area information in the user information; when the grid server corresponding to the grid area at the current sampling time is different from the target grid server, the authorization relationship table and User information is migrated from the grid server corresponding to the grid area where the previous sampling moment was located to the target server. By comparing whether the user is in the same grid area and determining whether the corresponding grid server is the same, the number of data updates can be reduced, thereby reducing the load pressure of the grid server.

Further, when the user information and the authorization relationship table need to be migrated, a corresponding user object needs to be established in the target grid server, so that the authorization relationship table and the user information are associated and saved to the user object. In addition, considering further improving the real-time nature of the user information stored in the grid server, the user information of the user can be deleted in the grid server corresponding to the grid area where the previous sampling time is located, so that the grid server stores The user information is the user in the grid area at the current moment. In addition, deleting user information that is not in the grid area in the grid server can also improve the storage space utilization rate in the grid server.

The embodiment of the present application may also provide timeout management, specifically, determine whether the user's location information is received within a preset duration, and if not, delete the user information corresponding to the user in the designated grid server, that is, when the user information The update time of the coordinate data in has exceeded a certain time, the user is deleted from the current grid.

In order to realize the intelligent management of the grid server, further sub-grid areas can be divided according to the user density of each grid area. For example, to determine whether the user density of the current grid area is greater than the first preset threshold, if the user density is greater than the first preset threshold, a first positioning request is generated based on the user density, and the first positioning request is sent to the user's association The terminal, so that the associated terminal returns the first positioning data based on the first positioning request, and then determines the target sub-grid area where the user is located based on the first positioning data. The first positioning request requires the user to provide accurate and accurate positioning information and increase the update frequency of the position information, so that the sub-grid area where the user is located can be determined, and the current grid area is dynamically divided into multiple sub-grid areas. Further, and based on the target sub-grid area where the user is located, the user information is updated in the target grid server corresponding to the target sub-grid area. Further, it can be divided into multiple grand grid areas in advance.

In addition, it can also be determined whether the user density of the current sub-grid area is less than the second preset threshold. When the user density is less than the second preset threshold, a second positioning request is generated based on the user density, and the second positioning request is sent to The associated terminal of the user, so that the associated terminal is based on the second positioning data returned by the second positioning request, and then determines the target grid area where the user is located based on the second positioning data, and based on the target grid area where the user is located, Update user information in the target grid server corresponding to the target grid area. Among them, the second positioning request does not require the user to provide accurate and accurate positioning information and reduce the frequency of updating the location information, thereby reducing the power consumption of the user's associated terminal.

For ease of understanding, FIG. 3 shows a schematic diagram of a grid area division taking Beijing as an example. When a user migrates from one grid area to another, the user density in the newly migrated grid area is first calculated When the user density is too high, on the basis of the current grid area, further divide the sub-grid area, as shown in Figure 4 is a schematic diagram of the division of the sub-grid area, where the sub-grid area can be 100 meters Unit; when the user density is too low and there are sub-grid areas, you can merge the sub-grid areas. Preferably, when the user density is too high, the user's trajectory is tracked through a higher-precision positioning method; when the user density is too low, a higher-precision positioning method is not required to track the user's trajectory.

Further, with the continuous development of artificial intelligence technology, biometrics is being promoted and developed as a new technology. The current level of biotechnology, in terms of face recognition technology, has reached more than 1 million face comparisons per second, and the error rate has reached the level of one ten millionth. Therefore, the current level of biotechnology has reached To a whole new level. However, although the error rate has reached the level of one ten millionth, it is obviously still inadequate in the face of a country with a super population; in addition, the biometric technology such as the face will be affected by aspects such as shooting angle and lighting , Seriously affecting the comparison results. Therefore, an embodiment of the present application also provides an identity recognition method based on the above embodiments. Refer to the schematic flowchart of an identity recognition method shown in FIG. 5, the method includes the following steps:

In step S502, the user information management method provided in the foregoing embodiment is used to update the user information in each grid server.

Step S504: When receiving the service request sent by the service terminal, determine the grid area where the service terminal is located according to the service request.

Among them, the business terminal can be a cash register, a POS (point of sale) machine, a smart scanner, a handheld device, a smart TV, a mobile phone, a doll machine, a game machine, an automatic payment machine, a self-service recharge machine, a smart face Payment equipment, self-service terminal (e-government self-service terminal, e-bank self-service terminal, e-tax self-service terminal, hotel check-in self-service terminal, ATM (Automatic Teller Machine, automatic withdrawal) machine, queuing machine, number machine, self-service (Single machine, self-service invoice machine, self-service ticket machine and self-service settlement machine, etc.), shared equipment, intelligent robots, intelligent cars, drones, identity authentication machines, member and VIP identification equipment, intelligent access control, intelligent video intercom equipment And smart gates, etc. In addition, the business terminal can locate the location of the business terminal through one or more positioning technologies such as BDS, GPS, LBS, AGPS, GSM, IP address positioning, WIFI and gyro positioning, and obtain the business terminal Location information. Specifically, when the service terminal performs identity recognition, it will notify the target object to cooperate to complete the collection of biometric information, so that the service terminal is based on the biometric information of the target object and the location information of the service terminal. When receiving the service request sent by the service terminal, the grid area where the service terminal is located is determined according to the location information in the service request.

The biometric information may be one or more of biometrics such as human face, iris, sclera, eye pattern, palm vein, palm pattern, ear pattern, finger vein, and voice pattern.

Further, the biological biometric information of the target object may be living human face information.

Step S506: In the grid server corresponding to the grid area where the service terminal is located, obtain the user information of each authorized user in the grid area where the service terminal is located according to the authorization relationship table.

It can be understood that because the target object should be near the business terminal when handling the corresponding business, it is preferred to search for the user information of each user in the grid area where the business terminal is located.

Step S508, searching for biometric information corresponding to each user information.

Query corresponding pre-stored biometric information of each user through user information.

Preferably, in order to reduce the amount of data exchange, only the user information of the user is stored in the grid server, and the biometric information of the user is not stored, so as to improve the overall efficiency and stability. In addition, because the grid server is not configured to perform identification based on the biometric information, the response speed of the grid server can be accelerated, and the stability of the grid server can be further improved.

Step S510: Perform biometric matching based on the biometric information of the target object and the biometric information corresponding to each user information to obtain a biometric matching result.

Preferably, before performing biometric matching, a living body judgment is performed to determine whether the living body biometric information of the target object is directly derived from the living body, so as to prevent others from using the biometric information of the target object through photos or other means.

Step S512, complete identity recognition according to the biometric matching result.

For ease of understanding, an embodiment of the present application also provides a method for completing identity recognition based on a biometric matching result. The method includes the following steps:

(1) Determine whether the biometric matching result is a successful match.

(2) If so, determine whether the user who matched successfully is unique.

It can be understood that there may be users similar to the biometric information of the target object, so it is judged whether the user who has successfully matched is unique.

(3) When the matched user is unique, determine the matched user as the target object and complete the identity recognition.

(4) When the matched user is not unique, send an identity confirmation request to the associated terminal of each matched user.

When the matched user is not unique, an identity confirmation request is sent to the associated terminal of each successfully matched user, so that the target object returns identity confirmation information based on the identity confirmation request.

(5) When receiving the identity confirmation information sent by the associated terminal of each user who successfully matches the identity confirmation request, the identity confirmation information sent by each associated terminal is judged to obtain a judgment result.

(6) According to the judgment result, complete identification.

After obtaining the user information of each user in the grid area where the business terminal is located, send each user information and business request to the payment system, so that the payment system searches for the corresponding biometric information based on each user information, and then completes the identification and determination The identity information of the target object to complete the payment operation. Specifically, by matching the biometric information of the target object with the biometric information of each user, the user information of the target object is determined to complete the identity recognition. In addition, if the identity recognition does not match the user information corresponding to the target object, the user information of each grid area adjacent to the grid area where the service terminal is located can be acquired. Further, the payment system can forward the biological biometric information of the target object to the face recognition server, and recognize the identity information of the target object through the special face recognition server, thereby improving the efficiency of the payment operation of the payment system.

Taking a schematic diagram of a grid area shown in FIG. 2 as an example, when a service request sent by a service terminal is received, it is determined that the service terminal is in the grid area 12, and the grid server corresponding to the grid area 12 is searched for the current User information located in the grid area 12. After obtaining the user information of each user in the grid area 12, since the business request carries the biological biometric information of the target object, after the biometric information corresponding to each user is found through the user information, the biometric matching can be performed , And then complete identity recognition, and determine the current user information corresponding to the target object, and complete the payment operation based on the current user information. If the identity recognition does not match the current user information corresponding to the target object, the user information in the grid area 11 or the grid area 8 can be obtained to reduce the problem that the payment operation cannot be completed due to positioning errors.

The identification method provided in the embodiment of the present application updates the user information in the grid server through the foregoing user information management method and device, and determines the service terminal based on the position information of the service terminal carried in the service request when the service request is received Locate the grid area, and then in the grid server corresponding to the grid area where the service terminal is located, look up the user information of each authorized user in the grid area according to the authorization relationship table, and obtain the biological information corresponding to each user information Feature information, which matches the biometric information of the target object with the biometric information of each authorized user, and completes the biometric recognition based on the matching result. The embodiment of the present application effectively reduces the number of user information obtained by acquiring user information in the corresponding grid area, improves the speed and accuracy of biometrics, and thereby shortens the time used for identity recognition to achieve efficient and accurate identity recognition the goal of. In addition, narrowing the scope of acquiring user information into a grid area can effectively alleviate the problem of poor recognition effect when biometrics is applied in a large population.

Further, referring to a schematic structural diagram of a system shown in FIG. 6, the system includes a master server, and a dynamic grid server, a face recognition server, and a payment server respectively connected to the master server, wherein the master server is configured to implement payment Server, dynamic grid server, face recognition server and the communication between the business terminal and the user's associated terminal, the dynamic grid server is configured to confirm the grid area where the user and the business terminal are located, and the face recognition server is configured to match the target object Corresponding face information, the payment server can be connected to other payment platforms and configured to complete the payment.

In summary, the embodiments of the present application can achieve at least one of the following characteristics:

(1) Through rasterization management, the number of biometrics can be controlled within the grid and adjacent grids, which can reduce the number of biometric comparisons, thereby increasing the search speed of biometric comparisons and reducing the investment of face recognition servers .

(2) The number of people in the grid can be adjusted dynamically according to the population distribution density.

(3) Raster map management is faster.

(4) Rasterization management does not need to load biometric information, effectively reducing the amount of data exchange, thereby improving the overall efficiency and stability;

(5) The grid management does not perform the biometric comparison operation, speed up the response of the grid server, and make the grid server more stable and reliable.

For the user information management method provided in the foregoing embodiment, an embodiment of the present application further provides a user information management device. See FIG. 7 for a schematic structural diagram of a user information management device. The device includes the following parts:

The tracking module 702 is configured to sample and track the user's trajectory to obtain the user's location information; wherein, the location information carries account information;

The area determination module 704 is configured to determine the current grid area where the user is located according to the location information;

The information obtaining module 706 is configured to obtain user information corresponding to the account information; wherein, the user information includes mode information;

The update module 708 is configured to update the user information to the target grid server corresponding to the current grid area according to the mode information.

The user information management device provided by the embodiment of the present application samples and tracks the user's trajectory through the tracking module to obtain the user's location information, and then the area determination module determines the current grid area where the user is located, and then the information acquisition module acquires the user's User information, and update the user information to the grid server corresponding to the current grid area through the update module. In this application, the user's location information is sampled and tracked to update the grid area where the user is located in a timely manner, and the user information is updated in the grid server corresponding to the grid area in time, thereby improving the real-time performance of grid management.

For the identity recognition method provided by the foregoing embodiment, an embodiment of the present application further provides an identity recognition device. Refer to the schematic structural diagram of an identity recognition device shown in FIG. 8, the device includes the following parts:

The information update module 802 is configured to update the user information in each grid server by using the user information management method provided in the foregoing embodiment.

The area determination module 804 is configured to determine the grid area where the business terminal is located according to the business request when receiving the business request sent by the business terminal; wherein, the business request includes living target biometric information of the target object, business information of the business terminal and Location information of the business terminal.

The user information obtaining module 806 is configured to obtain user information of each authorized user in the grid area where the service terminal is located in the grid server corresponding to the grid area where the service terminal is located according to the authorization relationship table.

The feature information search module 808 is configured to search for biometric information corresponding to the user information of each authorized user.

The matching module 810 is configured to perform biometric matching based on the biometric information of the target object and the biometric information corresponding to the user information of each authorized user to obtain a biometric matching result.

The identification module 812 is configured to complete identification according to the biometric matching result.

In the device for identity recognition provided by the embodiment of the present application, the information update module updates the user information in the grid server through the foregoing user information management method and device, and determines the grid where the service terminal is located when the area determination module receives the service request Area, and then search the user information of each user in the grid area through the user information acquisition module in the grid server corresponding to the grid area where the service terminal is located, and then the feature information search module searches for the corresponding biometric information, and then completes Identification. The embodiment of the present application effectively reduces the number of user information obtained by acquiring user information in the corresponding grid area, improves the speed and accuracy of biometrics, and thereby shortens the time used for identity recognition to achieve efficient and accurate identity recognition In addition, the identification based on biometric information of living organisms can effectively improve the security of identification.

The implementation principles and technical effects of the device provided by the embodiments of the present application are the same as those of the foregoing method embodiments. For a brief description, for the parts not mentioned in the device embodiments, reference may be made to the corresponding content in the foregoing method embodiments.

The device is a server. Specifically, the electronic device includes a processor and a storage device; a computer program is stored on the storage device, and when executed by the processor, the computer program executes any one of the above-described embodiments Methods.

9 is a schematic structural diagram of a server according to an embodiment of the present application. The server 100 includes a processor 90, a memory 91, a bus 92, and a communication interface 93. The processor 90, the communication interface 93, and the memory 91 pass through the bus 92. Connected; the processor 90 is configured to execute an executable module stored in the memory 91, such as a computer program.

The memory 91 may include a high-speed random access memory (RAM, Random Access Memory), or may include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the network element of the system and at least one other network element is achieved through at least one communication interface 93 (which may be wired or wireless), and the Internet, wide area network, local area network, and metropolitan area network can be used.

The bus 92 may be an ISA bus, a PCI bus, an EISA bus, or the like. The bus can be divided into an address bus, a data bus, and a control bus. For ease of representation, only one bidirectional arrow is used in FIG. 9, but it does not mean that there is only one bus or one type of bus.

Wherein, the memory 91 is configured to store a program, and the processor 90 executes the program after receiving the execution instruction. The method executed by the apparatus defined by the stream process disclosed in any of the embodiments of the present application may be applied to processing Processor 90, or implemented by processor 90.

The processor 90 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method may be completed by an integrated logic circuit of hardware in the processor 90 or instructions in the form of software. The processor 90 may be a general-purpose processor, including a central processor (Central Processing Unit, CPU for short) and a network processor (Network Processor, short for NP), etc.; or a digital signal processor (Digital Signal Processing, DSP for short) , Application Specific Integrated Circuit (Application Specific Integrated Circuit, referred to as ASIC), ready-made programmable gate array (Field-Programmable Gate Array, referred to as FPGA) or other programmable logic devices, discrete gate or transistor logic devices and discrete hardware components. The methods, steps, and logical block diagrams disclosed in the embodiments of the present application may be implemented or executed. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied and executed by a hardware decoding processor, or may be executed and completed by a combination of hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory and/or a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory and/or a register. The storage medium is located in the memory 91, and the processor 90 reads the information in the memory 91 and completes the steps of the above method in combination with its hardware.

The computer program product of the method, device and server for identity recognition based on dynamic rasterization management provided by the embodiments of the present application includes a computer-readable storage medium storing non-volatile program code executable by a processor, and the computer-readable A computer program is stored on the storage medium. When the computer program is executed by the processor, the method described in the foregoing method embodiments is executed. For specific implementation, refer to the method embodiments, and details are not described herein again.

Those skilled in the art can clearly understand that for the convenience and conciseness of the description, the specific working process of the system described above can refer to the corresponding process in the foregoing embodiment, which will not be repeated here.

The computer program product of the readable storage medium provided by the embodiments of the present application includes a computer-readable storage medium storing program codes, and the instructions included in the program codes may be configured to perform the method described in the foregoing method embodiments, specifically For implementation, refer to the method embodiment, and details are not described herein again.

If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application essentially or part of the contribution to the existing technology or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to enable a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code .

Finally, it should be noted that the above-mentioned embodiments are only specific implementations of the present application, and are used to illustrate the technical solutions of the present application, rather than limit them, and the scope of protection of the present application is not limited thereto, although referring to the foregoing The embodiments have described the application in detail, and those of ordinary skill in the art should understand that any person skilled in the art can still modify the technical solutions described in the foregoing embodiments within the technical scope disclosed in the application Or it is easy to think of changes, or equivalent replacement of some of the technical features; and these modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered in this application. Within the scope of protection. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

A method for managing user information, which includes:

Sampling and tracking the user's trajectory to obtain the user's location information; wherein, the location information carries account information;

Determine the current grid area where the user is located according to the location information;

Obtain user information corresponding to the account information; wherein, the user information includes mode information;

Updating the user information to the target grid server corresponding to the current grid area according to the mode information.
The method according to claim 1, wherein the step of updating the user information to the target grid server corresponding to the current grid area according to the pattern information includes:

Obtain, in the target grid server corresponding to the current grid area, each business information located in the current grid area;

Establish an authorization relationship table according to the mode information and each of the business information; wherein, the authorization relationship table includes the correspondence between the account information and the business information;

Updating the authorization relationship table and the user information to the target grid server.
The method according to claim 2, wherein the location information includes location data corresponding to the current sampling time and location data corresponding to the previous sampling time of the current sampling time; The step of associatively updating the user information to the target grid server includes:

Determine whether the grid area where the previous sampling moment is located is the same as the current grid area;

If so, update the current sampling time in the authorization relationship table and the user information in the target grid server;

If not, determine whether the grid server corresponding to the grid area at the previous sampling time is the same as the target grid server;

When the grid server corresponding to the grid area where the previous sampling moment is located is the same as the target grid server, update the current in the authorization relationship table and the user information in the target grid server Sampling time and current grid area information;

When the grid server corresponding to the grid area at the previous sampling time is different from the target grid server, the authorization relationship table and the user information are removed from the grid area at the previous sampling time The corresponding grid server is migrated to the target server.
The method according to claim 3, wherein when the grid server corresponding to the grid area at the previous sampling time is different from the target grid server, the authorization relationship table is The step of migrating the user information from the grid server corresponding to the grid area at the previous sampling time to the target server includes:

When the grid server corresponding to the grid area where the previous sampling time is located is not the same as the target grid server, create a user object in the target server based on the user information, and delete The authorization relationship table and the user information are associated and saved to the user object;

Delete the user information of the user in the grid server corresponding to the grid area where the previous sampling moment is located.
The method according to claim 1, wherein the method further comprises:

Determine whether the location information of the user is received within a preset duration;

If not, delete the user information corresponding to the user in the specified grid server.
The method according to claim 1, wherein the method further comprises:

Determine whether the user density of the current grid area is greater than a first preset threshold;

If yes, generate a first positioning request based on the user density;

Sending the first positioning request to the associated terminal of the user, so that the associated terminal returns the first positioning data based on the first positioning request;

Determine the target sub-grid area where the user is located according to the first positioning data; wherein, the current grid area is dynamically divided into multiple sub-grid areas;

Based on the target sub-grid area where the user is located, the user information is updated in the target grid server corresponding to the target sub-grid area.
The method according to claim 6, wherein the method further comprises:

Determine whether the user density of the current sub-grid area is less than a second preset threshold;

If yes, generate a second positioning request based on the user density;

Sending the second positioning request to the associated terminal of the user, so that the associated terminal returns the second positioning data based on the second positioning request;

Determine the target grid area where the user is based on the second positioning data;

Based on the target grid area where the user is located, update the user information in the target grid server corresponding to the target grid area.
An identification method, which is characterized by including:

Use the user information management method according to any one of claims 1 to 7 to update the user information in each grid server;

When receiving the service request sent by the service terminal, the grid area where the service terminal is located is determined according to the service request; wherein, the service request includes living target biometric information of the target object, and service information of the service terminal And the location information of the service terminal;

Obtain, in the grid server corresponding to the grid area where the service terminal is located, user information of each authorized user in the grid area where the service terminal is located according to the authorization relationship table;

Find the biometric information corresponding to each user information;

Performing biometric matching based on the biological biometric information of the target object and the biometric information corresponding to each of the authorized user information to obtain a biometric matching result;

The identity recognition is completed according to the biometric matching result.
The method according to claim 8, wherein the step of completing identity recognition based on the biometric matching result comprises:

Determine whether the matching result of the biometrics is a successful match;

If yes, determine whether the matched user is unique;

When the matched user is unique, determine the matched user as the target object, and complete the identity recognition;

When the matched user is not unique, send an identity confirmation request to the associated terminal of each matched user;

When receiving the identity confirmation information sent by the associated terminal of each user who successfully matches the identity confirmation request, determine the identity confirmation information sent by each associated terminal to obtain a judgment result;

The identity recognition is completed according to the judgment result.
A user information management device, characterized in that it includes:

The tracking module is configured to sample and track the user's trajectory to obtain the user's location information; wherein, the location information carries account information;

An area determination module configured to determine the current grid area where the user is located based on the location information;

An information acquisition module configured to acquire user information corresponding to the account information; wherein, the user information includes mode information;

The update module is configured to update the user information to the target grid server corresponding to the current grid area according to the mode information.
An identification device is characterized by comprising:

The information updating module is configured to use the user information management method according to any one of claims 1 to 6, to update the user information in each grid server;

The area determination module is configured to, when receiving a service request sent by a service terminal, determine the grid area where the service terminal is located according to the service request; wherein the service request includes biometric information of the target object, The business information of the business terminal and the location information of the business terminal;

The user information acquisition module is configured to acquire user information of each authorized user in the grid area where the service terminal is located in the grid server corresponding to the grid area where the service terminal is located;

A feature information search module configured to search for biometric information corresponding to the user information of each authorized user;

The matching module is configured to perform biometric matching based on the biometric information of the target object and the biometric information corresponding to the user information of each authorized user to obtain a biometric matching result;

The identification module is configured to complete identification according to the biometric matching result.
A server, characterized in that it includes a processor and a memory;

A computer program is stored on the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 7 or the method according to claims 8 to 9 are executed.
A computer storage medium, characterized in that it is configured to store computer software instructions used in the method according to any one of claims 1 to 7, or to execute the method according to claims 8 to 9.