Finger vein identification method based on fusion of multiple characteristic thresholds

Abstract

The invention discloses a finger vein identification method based on fusion of multiple characteristic thresholds. A 2D Gaussian template based on multiple standard deviations is used to calculate a curvature of a finger vein image, a background-area curvature grayscale characteristic, a vein-area curvature grayscale characteristic and a curvature fine line characteristic of the image are extracted; a correlation coefficient method is used to calculate a matching threshold of the background-area curvature grayscale characteristic and the vein-area curvature grayscale characteristic, an MHD algorithm is used to calculate a matching threshold of the curvature fine line characteristic, and a multi-characteristic-threshold fusion decision algorithm is provided to fuse independent identification thresholds of the three characteristics and further to carry out verification and decision. According to the algorithm based on fusion of the thresholds of the three characteristics, background areaavailable information included by the background-area curvature grayscale characteristic is combined, the fuzzy finger vein image identification performance is not decreased obviously, the false rejection rate under a low false accept rate is substantially lower than that of a traditional identification algorithm based on the fine line characteristic only, and the identification algorithm can beutilized reasonably and highly efficiently.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification and information security, in particular to the technical field of finger vein identification. Background technique [0002] Finger vein recognition technology belongs to biometric recognition technology, which uses the topological structure of veins inside the finger for human identity verification. It has become a research hotspot of many scholars at home and abroad because of its fast recognition speed, good performance and feature security that is not easy to forge. The finger vein recognition system mainly includes finger vein image acquisition, image preprocessing, feature extraction and feature matching recognition. Considering the current technological level of the acquisition equipment, some people's fingers are affected by the instability of the equipment or the acquisition environment during the acquisition process, resulting in blurred vein lines and unstable ...

AI Technical Summary

Problems solved by technology

[0004] For existing algorithms such as the algorithm for extracting thin line features based on directional filtering and the algorithm for extracting thin line features based on Hessian matrix, the problem of low false rejection rate in the case of low false recognition rate caused by the instability of fuzzy image extraction features, the present invention Provide a finger vein recognition algorithm based on multi-feature threshold fusion

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