Fingerprint storage comparison system based on behavioral analysis

Abstract

The invention discloses a fingerprint storage comparison system based on behavioral analysis, and relates to the field of fingerprint comparison. The system comprises an upper level server and a plurality of sub servers in comparison regions. The upper level server comprises a signaling control module, a fingerprint database which is not commonly used and an all fingerprint database backup module. The signaling control module is used for forwarding and responding to all signaling and controlling transmission of instructions, the fingerprint database which is not commonly used is used for storing storage and comparison of fingerprint modules which are not commonly used in a management region, the all fingerprint database backup module is used for backing up all fingerprint modules in the region, each comparison region comprises a sub server and a plurality of local nodes, and each sub server also comprises a signaling control module, a fingerprint database which is not commonly used and an all fingerprint database backup module. The fingerprint storage comparison system can effectively reduce the comparison range, shortens comparison time and improves comparison efficiency.

Description

technical field [0001] The invention relates to the field of fingerprint comparison, in particular to a fingerprint storage and comparison system based on behavior analysis. Background technique [0002] Biometric authentication technology is a technology that uses human biological characteristics to determine personal identity, and can be widely used in criminal investigation, security, banking and other fields. In current applications, fingerprint identification and DNA identification technologies are relatively mature, among which fingerprints are the most commonly used human biometrics due to their characteristics of easy collection and easy comparison of features, and fingerprint identification has quickly occupied most of the biometric technology market. As a biometric technology, fingerprint comparison has been widely used in many fields. To judge whether a fingerprint is legal, it is necessary to compare the feature value of the fingerprint to be compared with the f...

AI Technical Summary

Problems solved by technology

[0003] However, with the increase in the number of fingerprint users, the fingerprint library gradually increases. In large-scale fingerprint storage and comparison applications, especially when the fingerprint library reaches tens of thousands or even millions of levels, it is necessary to select from N fingerprint templates Find out the fingerprints that need to be authenticated. N is a natural number greater than 1. The 1:N comparison of fingerprints will put forward very high requirements on equipment, algorithms, and time.

In order to shorten the fingerprint comparison time, the traditional method is: bind a code to the fingerprint, and compare the codes first, find the fingerprints corresponding to the codes, and then compare them, so that the 1:N The comparison is converted into a 1:1 comparison, or a clustered large-scale computer is used for comparison. Although these can shorten the time of fingerprint comparison to a certain extent, they do not fundamentally solve the problem. In large-scale comparisons, it is still not easy to deal with

When a fingerprint user outputs a fingerprint, the traditional method needs to submit the fingerprint to a large background fingerprint database. According to the shape of the database, centralized comparison or distributed comparison may be used, so that each comparison must use 1: The way of N, when N is large, the efficiency is very low and it takes a long time

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