Different fingerprint sensor image information compatible fingerprint identification method

Abstract

The invention relates to a fingerprint identification method, which comprises the following steps: collecting the fingerprint mold image; collecting the identifying fingerprint image; comparing the identifying fingerprint image with the fingerprint mold image with correlation method of the fingerprint similarity; determining if two images are the same finger image according to the comparison result; adjusting the resolution ratio and the size according to the same format with the image compression algorithm before the comparison of the identifying fingerprint image and the fingerprint mold image. The invention assembles different type sensor to a set of fingerprint identification system, which is fit for most of people, can apply the fingerprint data acquired by a fingerprint sensor to the other fingerprint sensor product directly.

Description

Technical field [0001] The present invention relates to the field of biological identification, in particular to a fingerprint identification method. Background technique [0002] With the development of computer information technology, people’s lives have gradually entered the era of digital networks. Their work and life are closely integrated with computers and virtual networks. The traditional password-based account management model can only prove a person’s operation but cannot prove it. True biological identity. The fingerprints, iris, DNA, etc. inherent in human beings are unique and non-repudiation. They are the best choice for identifying people’s biological identity. Therefore, a variety of biometric technologies are gradually or are being developed into identity recognition. Mainstream technology. [0003] Fingerprint recognition technology, as the most convenient and fast biometric technology, has been developed rapidly in many application fields in recent years. Finge...

AI Technical Summary

Problems solved by technology

[0013] The fingerprint identification system that can only integrate one sensor product is likely to cause some people to be unsuitable. When the existing product has some defects in use, it is difficult to replace the product when it is found.

If the problem is solved with traditional ideas, fingerprint products must be reintroduced, which will inevitably increase the cost of software and hardware, and at the same time cannot solve the problem that a fingerprint sensor can only adapt to some people

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