Method for extracting, matching and recognizing characteristics of finger veins

Abstract

The invention provides a method for extracting, matching and recognizing characteristics of finger veins, which comprises the following steps: acquiring a finger vein image by an infrared image acquiring device, preprocessing the image, extracting the characteristics, recognizing and analyzing, wherein the preprocessing step comprises the concrete steps of graying a color image, extracting a finger area, adopting direction filtering and enhancing, extracting a finger vein grain according to a finger outline mark and binarizing, de-noising by an area eliminating method, and standardizing the image size to a uniform image size; the characteristic extracting method comprises the steps of carrying out sub-block partitioning on the finger vein grain image, and extracting the characteristics ofeach sub-block image by a bidirectional two-dimensional principal component analysis method of bidirectional characteristic value weighting partitioning; and the recognizing and analyzing step recognizes the characteristics of each sub-block as a whole by a nearest neighbor sorter. The invention can reduce the calculated amount of a high dimensional image matrix in recognition of the finger veins, can obviously improve the recognition speed of the finger vein, and the recognition rate is stable and high.

Description

technical field The invention relates to a biometric identification technology. In particular, a finger vein feature authentication technology. Background technique Biometric identification technology refers to a technology that uses human biometrics for identity authentication. It is based on two types of physical characteristics (fingerprint, palm shape, iris vision, human body odor, face shape, etc.) and behavioral characteristics (signature, voice, gait, etc.) that our human body possesses. Among these biometric identification technologies, due to its strong uniqueness, stability, and ease of use, fingerprint identification is widely used, but it is found that there are some bottlenecks in practical applications: (1) The collected fingerprint image is not clear enough due to dirty, wet or dry fingers, or the fingerprint sensor is not clean, which directly affects the recognition rate of fingerprints; (2) The report of the National Institute of Standards and Technolo...

AI Technical Summary

Problems solved by technology

(1) The collected fingerprint image is not clear enough due to dirty, wet or dry fingers, or the fingerprint sensor is not clean, which directly affects the recognition rate of fingerprints;

(2) The report of the National Institute of Standards and Technology pointed out that...

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