Fingerprint identification method and device

Abstract

The invention discloses a fingerprint identification method and device. The fingerprint identification method includes: acquiring a fingerprint image to be identified, and extracting a first feature point in the fingerprint image to be identified; if the number of first feature points in the fingerprint image to be identified is is less than the preset threshold, then select the fingerprint template image according to the first feature point in the fingerprint image to be identified, and obtain the second feature point matched with the first feature point in the fingerprint template image; according to the first feature point and the second feature Click to overlap the fingerprint image to be identified and the fingerprint template image to generate a coincidence image, and obtain the effective overlap area between the fingerprint image to be identified and the fingerprint template image in the overlap image; and judge the fingerprint image to be identified and the fingerprint template according to the effective overlap area Whether the images match and perform fingerprinting based on the matching results. The fingerprint recognition method of the embodiment of the present invention realizes the fingerprint recognition under the condition of fewer feature points, improves the success rate of fingerprint recognition, and reduces the misrecognition rate.

Description

technical field [0001] The invention relates to the technical field of fingerprint identification, in particular to a fingerprint identification method and device. Background technique [0002] With the development of fingerprint detection and identification technology, fingerprint identification has been more and more widely used in various fields. For example, fingerprint unlocking functions in mobile terminals such as mobile phones and computers. Among the many fingerprint detection and identification methods, the capacitive chip detection and identification method has quickly broken through in the mobile phone and tablet market due to its advantages such as small size and low power consumption, and has become the first choice. [0003] At present, most fingerprint recognition algorithms are based on feature point algorithms. Among them, the feature points refer to the bifurcation points and endpoints of the ridge lines in the fingerprint. When collecting fingerprints,...

AI Technical Summary

Problems solved by technology

In addition, some people's fingerprints have very few feature points, and even if the collection area is large enough, it is difficult to detect many feature points.

[0004] In these cases, due to too little feature point information, it is very easy to cause the comparison to fail, thus making it impossible to identify; even if the comparison is successful, wrong identification results may be obtained, etc., and the success rate of fingerprint identification is low and the accuracy is poor.

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