Method for extracting finger vein feature for matching identification

Abstract

The invention provides a method for extracting finger vein features for matching recognition, which comprises the following steps: (1) collecting finger vein images with an image acquisition device; (2) pre-treating the collected finger vein images, comprising making color images gray, extracting finger areas, eliminating salt-and-pepper noise and gaussian noise respectively with a combined filter, splitting images and performing binaryzation for split images through a local dynamic threshold algorithm, de-noising in an area elimination method, extracting finger vein context images according to finger contour markers, and finally standardizing the sizes of the images to form unified images; (3) extracting finger vein features through two-dimensional linear discriminant analysis algorithms weighted both in the line direction and in the row direction; and (4) carrying out matching and recognition with a nearest classifier. The invention significantly improves the speed of finger vein recognition and achieves stable and high recognition rate.

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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