Fingerprint identification method and device

Abstract

The present invention provides a fingerprint identification method and device, the method comprising: collecting a fingerprint image to be identified entered by a user on a fingerprint identification area; performing feature point extraction on the fingerprint image to be identified to obtain corresponding feature points to be identified , and the position information of each feature point to be identified in the fingerprint identification area; each feature point to be identified is matched with each fingerprint feature point in the fingerprint template, and the corresponding fingerprint feature point is obtained from each feature point to be identified. Matching feature points; comparing the matching feature points with the respective position information of the corresponding fingerprint feature points to obtain matching feature points different from the position information of the corresponding fingerprint feature points; The number determines whether the fingerprint image to be recognized matches the fingerprint template. The method has a low fingerprint recognition rate, can reduce the influence of foreign matter on the fingerprint recognition area on the fingerprint recognition process, and improves user experience.

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] At present, when the existing fingerprint recognition technology successfully completes the fingerprint recognition, it will add the features learned from the currently recognized fingerprint to the corresponding fingerprint template based on the self-learning function, so as to carry out subsequent fingerprints through the updated fingerprint template. Identify jobs. [0003] However, this kind of fingerprint identification scheme has a high false recognition rate. When there is a fixed foreign object (such as clay, cracks, etc.) in the fingerprint identification area, the learned features including the foreign object feature will be added to the fingerprint template, making the fingerprint identification In the subsequent fingerprint identification process, based on the characteris...

AI Technical Summary

Problems solved by technology

[0003] However, this kind of fingerprint identification scheme has a high false recognition rate. When there is a fixed foreign object (such as clay, cracks, etc.) in the fingerprint identification area, the learned features including the foreign object feature will be added to the fingerprint template, making the fingerprint identification In the subsequent fingerprint identification process, based on the characteristics of the foreign matter in the fingerprint template, it is judged whether the fingerprint image to be identified obtained through the fingerprint identification area matches the fingerprint template, and the fingerprint image to be identified obtained through the fingerprint identification area will also carry There are foreign objects, which can easily cause the fingerprint image that has not been entered to be successfully matched with the fingerprint template, resulting in false fingerprint recognition and affecting user experience.

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