Narrow strip-shaped fingerprint identification method, storage medium and electronic equipment

Abstract

The application provides a narrow strip-shaped fingerprint identification method, and the method comprises the steps: processing a plurality of different training fingerprint images into a plurality of groups of training fingerprint groups according to a preset first image processing rule; feeding the multiple training fingerprint groups into a multi-classification network to obtain a pre-training model; processing the plurality of different registered fingerprint images into a plurality of registered fingerprint groups according to a preset second image processing rule; feeding the plurality of registered fingerprint groups into a multi-classification network loaded with a pre-training model to obtain a target model, the multi-classification network loaded with the target model being able to identify a registered finger ID and a feature vector of each registered fingerprint image; inputting a to-be-identified fingerprint group into the multi-combination classification network loaded with the target model to obtain a to-be-identified finger ID and a feature vector of the to-be-identified fingerprint image; and obtaining an identification result of the to-be-identified fingerprint image according to the to-be-identified finger ID, the corresponding feature vector, the plurality of registered finger IDs and the corresponding feature vectors. Electronic equipment is also provided.

Description

technical field [0001] The present application relates to the field of consumer electronics, in particular to a narrow-stripe fingerprint identification method, a storage medium, electronic equipment, a narrow-stripe fingerprint module and a narrow-stripe fingerprint sensor. Background technique [0002] Fingerprint identification technology is widely used in the field of consumer electronics, such as computers, smart phones, smart watches, etc. With the continuous development of science and technology, these electronic products are rapidly iterating in the direction of higher integration and smaller volume. Taking smart phones as an example, fingerprint recognition has gone through stages such as front fingerprint recognition scheme and back fingerprint recognition scheme, and has been continuously optimized. Later, some In consideration of the appearance of the mobile phone, the designer designed the fingerprint sensor on the side of the mobile phone. Traditional fingerpr...

AI Technical Summary

Problems solved by technology

Traditional fingerprint recognition methods rely on details such as fingerprint ends and cross points to achieve high fingerprint recognition accuracy. Because the fingerprint area acquired by the narrow strip fingerprint sensor is too small, the details on each fingerprint image are rarely or even impossible to extract. , leading to the inability to directly use the traditional fingerprint identification method to identify the fingerprint image acquired by the narrow strip fingerprint sensor, and the performance of the original excellent algorithm is seriously degraded

Images