Multi-source fingerprint image fusion method based on convolution sparse representation

Abstract

The invention discloses a multi-source fingerprint image fusion method based on convolution sparse representation. The method comprises the following steps: 1) obtaining pre-registered internal and external fingerprint images, and obtaining a sparse coefficient graph of cartoon and texture parts of the fingerprint images through employing the sparse coding of a morphological part analysis model based on convolution sparse; 2) determining a weight adding mode according to the value of the fingerprint image quality evaluation index direction determinacy, and adding the weight adding mode into cartoon and texture parts of the two source fingerprint images; and 3) respectively fusing the cartoon and texture parts of the two source fingerprint images by adopting a convolution sparse representation-based fusion method, obtaining a fusion coefficient graph of the cartoon and texture parts according to a weighted average rule, and reconstructing the fusion coefficient graph of the two parts toobtain a fused fingerprint image. According to the algorithm, more fingerprint details, textures and edge information can be reserved, regions with better quality of two source fingerprint images aresaved, and a fused fingerprint image with higher quality is obtained.

Description

technical field [0001] The invention relates to the field of fingerprint identification, in particular to a multi-source fingerprint image fusion method based on convolution sparse representation. Background technique [0002] Because of the uniqueness, permanence, and ease of collection of fingerprints, fingerprint identification features have become the most widely used biometric identification features for personal identification; currently the most used in identification applications are epidermis fingerprints, which are what the human eye can detect. The external fingerprints of the fingertip skin can be seen, because the fingertip skin exists on the surface of the skin and is easily affected by the external environment. When the skin on the fingertip surface is polluted by stains and sweat, etc., or is subjected to abrasion and scratches, it will cause irreparable damage. When the fingerprint is damaged, the texture structure of the fingerprint will be destroyed, and t...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the situation that the existing external fingerprints cannot be identified and matched due to wear and scratches, the present invention proposes a multi-source fingerprint image fusion method based on convolutional sparse representation. By integrating the fingerprint quality evaluation index, the internal fingerprint and the external Combining the image information of fingerprints, saving the areas with better quality of fingerprint images from two sources, and improving the quality of fingerprint images

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