Distributed data interaction based biological identification method and system

Abstract

The present invention discloses a distributed data interaction based biological identification method and a distributed data interaction based biological identification system. The method comprises the steps of: S1, acquiring user biological data by a first terminal, judging whether the user biological data are effectively registered in the first terminal locally, if so, finishing identification verification in the terminal locally, otherwise, going to a step S2; S2, broadcasting the user biological data to other terminals in the system; and S3, after the other terminals receive the broadcast data, judging whether the user biological data are effectively registered in the terminals locally, if so, finishing identification verification in the terminals locally, and transmitting the verification result to the first terminal. The system comprises a plurality of identification terminals and monitoring centers. By adopting the method, by virtue of a distributed calculating method, a large number of complex storage and calculation works are distributed to a plurality of identification terminals, and the problems low system response speed and high identification error rate caused by centralized storage and calculation are overcome. The method can be widely applied to various biological identification systems.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a data interaction method and system for biometric identification. Background technique [0002] The so-called biometric technology is to use the inherent physiological characteristics of the human body (such as fingerprints, faces, irises, etc.) , voice, gait, etc.) for personal identification. According to the statistical results of IBG (InternationalBiometricGroup, International Biometric Group) in 2009, there are many applications targeting different physiological and behavioral characteristics in the market. Among them, fingerprint recognition has the highest share. [0003] However, due to the complexity of biometric calculations, the amount of data is large. [0004] For example, if data and identification calculations are centrally processed in the central server, for a system with huge user data, the central server needs to store a large amount of use...

AI Technical Summary

Problems solved by technology

On the one hand, the central server needs to perform a large number of comparison calculations, which takes a long time; on the other hand, due to the huge amount of data (generally, the system error rate can be kept at a low level within 5,000 fingerprints stored), the calculation lasts for a long time, and misjudgment is prone to occur

[0005] If multiple terminals are used to store and identify and calculate separately, on the one hand, due to the small storage capacity of a single terminal, only a small amount of data can be stored and calculated; on the other hand, data and resource sharing cannot be realized between terminals , user data often needs to be stored repeatedly, resulting in waste of resources

For example, in a community fingerprint access control system with multiple access control terminals, if user A wants to pass identification verification at both access control terminals A and B, he needs to enter fingerprints at access control terminals A and B respectively, and both access control terminals A and B need to store User A's fingerprint data, resulting in a waste of storage space resources

Images