A Finger Vein Feature Extraction and Matching Recognition Method

Abstract

The invention provides a finger vein feature extraction and matching recognition method. (1) Acquisition of finger vein images by an image acquisition device; (2) Preprocessing of the collected finger vein images, including: grayscale color images, finger area extraction, and combination filters to eliminate salt and pepper noise and Gaussian noise respectively Noise, use the local dynamic threshold algorithm to segment the image and binarize it, then use the area elimination method to denoise, extract the finger vein image according to the finger contour mark, and finally standardize the size of the image into a unified image; (3) A two-dimensional linear discriminant analysis algorithm weighted in each direction extracts finger vein features; (4) Matching and identification are carried out through the nearest neighbor classifier. The invention obviously improves the recognition speed of finger veins, and the recognition rate is stable and high.

Description

technical field [0001] The invention relates to a biological feature identification technology, in particular to a finger vein feature identification technology. Background technique [0002] Among many biometric identification technologies, fingerprint identification has received extensive attention, research and application due to its strong universality, uniqueness, stability, and ease of use. Fingerprint recognition technology is currently an ideal identity verification technology with a high degree of practicability, but it is found that there are some bottlenecks in practical applications: [0003] (1) Due to dirt on the finger, too wet, too dry, or the fingerprint device is not clean, or the camera for collecting fingerprints is not focused properly, etc., the captured fingerprint image is not clear enough, causing image quality problems and directly affecting fingerprint recognition precision and results; [0004] (2) According to the NIST (National Institute of St...

AI Technical Summary

Problems solved by technology

[0003] (1) Due to dirt on the finger, too wet, too dry, or the fingerprint device is not clean, or the camera for collecting fingerprints is not focused properly, etc., the captured fingerprint image is not clear enough, causing image quality problems and directly affecting fingerprint recognition precision and results;

[0004] (2) According to the NIST (National Institute of Standards and Technology) report, due to finger injuries (scars, abrasions), or about 2% of finger skin bursts, they cannot provide good-quality pending and registered images, so these People cannot be identified by fingerprints

[0005] (3) During the process of fingerprint collection, factors such as the twisting and stretching of finger pressing, pressing force and other factors will cause the fingerprint to deform and rotate, resulting in a lack of constancy in the description of the feature, which will make the description of the registered feature value and the feature value of the verification The description is different, so the possibility of successful comparison will be reduced. This kind of situation is relatively common in reality.

Therefore, when designing a verification system, these factors must be taken into account, so that the reliability of the system will deteriorate and the complexity will increase, which will increase the rejection rate

[0006] (4) Although it is difficult to steal biometrics, the possibility exists

[0007] The fingerprint identification method still only stays on the "appearance" of observing people's biological characteristics, and the safety factor is low

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