Automatic updating method for fingerprint template

Abstract

The invention relates to a fingerprint template updating method, which includes the following steps: obtaining and storing M minutiae attributes of a new fingerprint when the new fingerprint is verified; combining the M minutiae attributes of the new fingerprint with the N minutiae attributes of the fingerprint template for storage; carrying out two-two comparison of the combined M+N minutiae attributes, so as to remove the lower-quality minutiae attribute of the two minutiae attributes exceeding the preset threshold value a in similarity after K comparison; and extracting N minutiae attributes with highest occurrence probability and the quality exceeding the preset threshold value b in the M+N-K minutiae attributes, so as to be assembled and formed into a new fingerprint template. By the combination and removing process of the minutiae attributes of the new fingerprint and the original fingerprint template, the multiple minutiae attributes with the quality reaching the standard of the preset quality and the highest occurrence probability are extracted finally, so as to form the new fingerprint template, as a result, the false reject rate of fingerprint verification is reduced, and the accuracy of fingerprint verification is improved.

Description

technical field [0001] The invention relates to the field of biological identification, in particular to a method for automatically updating a fingerprint template. Background technique [0002] In the prior art, multiple fingerprints are usually collected from the same finger and multiple sets of fingerprint feature data are extracted, and then these fingerprint feature data are processed through a specific fingerprint algorithm to finally obtain a fingerprint template. In the subsequent fingerprint verification, compare the newly collected fingerprint feature data with the pre-set fingerprint template. When the similarity exceeds the predetermined threshold, the fingerprint verification is passed, and the user obtains the right to use, and then can enter the preset program or carry out Related application operations. However, in practical applications, due to the influence of factors such as irregular movements when collecting fingerprints, foreign objects on the surface ...

AI Technical Summary

Problems solved by technology

However, in practical applications, due to the influence of factors such as irregular movements when collecting fingerprints, foreign objects on the surface of the fingers, and changes in the external temperature environment, the final fingerprint template formed by the above method is fixed and has some flaws, such as the details of the fingerprint template. Points and their attributes are of lower quality

In fingerprint verification, the newly collected fingerprint is simply compared with this fixed fingerprint template, which will lead to high rejection rate and high false recognition rate.

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