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Biological feature recognition method and system

A biometric identification and biometric technology, applied in the direction of biometric identification, multiple biometric identification, character and pattern recognition, etc., can solve the problems of increased system burden, increased system consumption, and misidentification, so as to reduce the burden and reduce the The effect of consuming and increasing the speed of comparison

Pending Publication Date: 2021-02-23
BEIJING BEE BOX TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing biometric identification method needs to send the identified biological characteristics to the general database for 1:N comparison. Because the base is relatively large, the probability of similar biological characteristics will be greatly increased, which is easy to cause misidentification
In addition, if the comparison base is too large, the consumption of the system will also increase accordingly. If the flow of people is large, the burden on the system will increase

Method used

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  • Biological feature recognition method and system
  • Biological feature recognition method and system
  • Biological feature recognition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] figure 1 It is a flow chart of the biometric identification method of Embodiment 1.

[0032] Such as figure 1 As shown, the biometric identification method of this embodiment includes: collecting communication signals sent by the mobile terminal; identifying the user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID is in the sub-database; If the user ID is in the sub-library, send the user’s biological characteristics to the sub-database for comparison and identification; if the user ID is not in the sub-database, then send the user’s biological characteristics to the general library Compare and identify. There is a unique user ID within each communication signal.

[0033] Wherein, the general database stores user information including user IDs and user biometric features; the sub-database stores the user information extracted from the general database according to preset conditions.

[0034] Specifically, the bio...

Embodiment 2

[0040] image 3 It is a flow chart of the biometric identification method of Embodiment 2.

[0041] Such as figure 2As shown, the biometric identification method of this embodiment differs from that of Embodiment 1 in that the sub-base includes a plurality of time sub-identification libraries divided according to time periods, and the sending of the biometric feature of the user to the The step of comparing and identifying the sub-base includes: obtaining the time period during which the user ID corresponding to the mobile terminal is identified through the communication signal; judging whether the user ID exists in the time sub-identification library corresponding to the time period; if If it exists, send the biometric feature of the user to the sub-database for identification; if it does not exist, send the biometric feature of the user to the sub-bank for identification.

[0042] Preferably, if it does not exist, after sending the biometric feature of the user to the sub...

Embodiment 3

[0045] Figure 4 It is a flow chart of the biometric identification method of Embodiment 3.

[0046] Such as Figure 4 As shown, the biometric identification method of this embodiment differs from that of Embodiment 1 in that the sub-base includes multiple sub-identification sub-bases divided by regions, and the biometrics of the user are sent to the The sub-library comparison and identification step includes: obtaining the area where the user ID corresponding to the mobile terminal is identified through the communication signal; judging whether the user ID exists in the area sub-identification library corresponding to the area; The biometric feature of the user is sent to the regional sub-recognition database for identification; if it does not exist, the biometric feature of the user is sent to the sub-database for identification.

[0047] Preferably, if it does not exist, after sending the user's biometric feature to the sub-database for identification, it also includes: i...

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Abstract

The invention discloses a biometric feature recognition method and system. The method comprises steps of collecting a communication signal transmitted by a mobile terminal; identifying a user ID corresponding to the mobile terminal through the communication signal; judging whether the user ID is in a sub-library or not; if the user ID is in the sub-library, sending the biological characteristics of the user to the sub-library for comparison and identification; and if the user ID is not in the sub-library, sending the biological characteristics of the user to a main database for comparison andidentification. The biological characteristics are recognized through the biological characteristic recognition method, whether the user ID is the user ID of a common person or not can be pre-recognized by exploring the mobile terminal of the user in advance, if yes, the user ID is sent to the sub-database to be recognized, the user information in the sub-database is less, and the comparison cardinal number is less, so recognition efficiency is improved. The comparison speed of the biological characteristics of the user can be greatly increased, the error identification probability is reduced,the system operation burden is reduced, and system operation consumption is reduced.

Description

technical field [0001] The present application relates to the technical field of intelligent terminals, in particular to a biometric identification method and system. Background technique [0002] The existing biometric identification method needs to send the identified biological characteristics to the general database for 1:N comparison. Because the base is relatively large, the probability of similar biological characteristics will be greatly increased, which is easy to cause misidentification . In addition, if the comparison base is too large, the consumption of the system will also increase accordingly. If the flow of people is large, the system burden will increase. [0003] 1:N mode comparison: refers to the comparison of the currently acquired biometrics (1) with the total personnel in the library (N individuals) for N times in order to obtain the result of successful or failed biometrics comparison. Contents of the invention [0004] (1) Purpose of the invention...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/70G06V40/10
Inventor 崔建王斌靖奇张晓军张扬华奇兵韩国栓
Owner BEIJING BEE BOX TECH CO LTD