Recognition method and recognition device based on biological characteristics

Abstract

The invention relates to a recognition method and a recognition device based on biological characteristics. According to the recognition method, wavelet packet multilayer decomposition characteristic parameters are used for generating new frequency characteristic quantities; due to the fact that wavelet coefficients have a large difference, energy of signals at all decomposition nodes not only can reflect energy distribution of the signals in all frequency bands, but also has translation invariance, as a result, the frequency characteristic quantities can highly reflect user characteristics and improve the recognition rate of user signatures; and further, fingerprint characteristics and handwritten signature characteristics are combined, fingerprint information is collected while a user gives a signature, and therefore a high recognition rate of fingerprints is used for making up for a low high recognition rate of handwritten signatures. Accordingly, a handwriting pen provided with a fingerprint collection module at the pen holding end in an inlaid mode is used, and therefore the fingerprint information of the user can be collected while the user gives the signature, namely two types of information can be collected at the time of one action. A biometric feature recognition system which combines the fingerprints and the handwritten signatures and is studied out according to the thinking is high in recognition rate and acceptability.

Description

technical field [0001] The present invention relates to an identification method and device, in particular to a biological feature-based identification method and device. Background technique [0002] Biometric identification refers to the technology of collecting and processing the inherent physiological or behavioral characteristics of the human body through computers to perform personal identification. People's physiological characteristics are innate, mostly congenital; behavioral characteristics are dictated by habits, mostly acquired. Physiological and behavioral characteristics are collectively referred to as biometrics. Common biometrics include fingerprints, palm prints, irises, faces, voices, signatures, gait, and keystrokes. From the perspective of practical operation, a suitable biometric feature usually includes: can be accurately measured, fast collection speed, acceptable to the public, high reliability, fast comparison speed, good anti-counterfeiting, can A...

AI Technical Summary

Problems solved by technology

However, there are also certain difficulties in signature recognition: signature is a process that changes over time, and the signature of the same person will change with age; the tools used for writing, the environment, the psychological and physiological state of the signer, etc. It has an important impact on the signature; there are fewer samples available for identification, and it is difficult to obtain fake samples, etc.

[0005] Based on the advantages and disadvantages of fingerprint and handwritten signature recognition technology, although a certain biometric identification has its inherent advantages, its widespread use is also subject to many restrictions.

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