Narrow strip fingerprint identification method, storage medium and electronic device

Abstract

The present application provides a method for identifying narrow strip fingerprints, the method comprising: obtaining a plurality of template fingerprint image groups; encoding the plurality of template fingerprint image groups to obtain a plurality of feature map groups, wherein each of the The feature map group includes a plurality of feature maps; the online training of multiple feature maps in each feature map group is abstracted into a template feature map, and multiple template feature maps corresponding to multiple groups of template fingerprint images are obtained; obtain a The fingerprint image to be identified; encoding the fingerprint image to be identified to obtain a feature map to be identified; using a bulldozer distance algorithm to calculate the bulldozer distance between the feature map to be identified and each template feature map in the plurality of template feature maps, Multiple bulldozer distances are obtained; recognition results are obtained according to multiple bulldozer distances, and the recognition results include recognition success and recognition failure. The application also provides an electronic device, a storage medium, a fingerprint recognition module and a fingerprint sensor.

Description

technical field [0001] The present application relates to the field of consumer electronics, and in particular to a narrow-stripe fingerprint identification method, a storage medium, electronic equipment, a fingerprint identification module and a narrow-stripe fingerprint sensor. Background technique [0002] In recent years, fingerprint identification technology has been widely used in the field of consumer electronics, and the technology of using fingerprints for identity verification is widely used. Such as mobile phones, door locks, computers, smart watches, etc. With the continuous development of science and technology, these electronic products are rapidly iterating toward higher integration and smaller size. Taking mobile phones as an example, many mobile phones place fingerprint sensors on the side of the mobile phone for the sake of screen coverage, resulting in the obtained fingerprint image The area is very small, and there is little fingerprint information, so t...

AI Technical Summary

Problems solved by technology

With the continuous development of science and technology, these electronic products are rapidly iterating toward higher integration and smaller size. Taking mobile phones as an example, many mobile phones place fingerprint sensors on the side of the mobile phone for the sake of screen coverage, resulting in the obtained fingerprint image The area is very small, and the fingerprint information is very little. The original large-area fingerprint identification method is not applicable.

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