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A Finger Vein Feature Extraction and Matching Recognition Method

A finger vein feature and finger vein technology, applied in the field of finger vein feature identity authentication technology, can solve problems such as increased rejection rate, reduced possibility of successful comparison, and poor system reliability, so as to improve recognition speed, identify The effect of stable rate and improved recognition accuracy

Active Publication Date: 2012-02-01
南通氢清爽爽健康科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • A Finger Vein Feature Extraction and Matching Recognition Method
  • A Finger Vein Feature Extraction and Matching Recognition Method
  • A Finger Vein Feature Extraction and Matching Recognition Method

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Embodiment Construction

[0030] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0031] 1. Acquisition of infrared images of finger veins

[0032] The basic principle of the selected finger vein collection device is to use near-infrared rays to irradiate the finger, and the image sensor senses the light transmitted from the finger. The key point is that the hemoglobin flowing into the venous red blood cells will lose deoxygenation due to irradiation, and the reduced hemoglobin will absorb near-infrared rays with a wavelength near 760nm. In this embodiment, an infrared light source of 850nm is used, resulting in Less transmission results in a pattern of veins on the imaging device. Therefore, the selected finger vein collector uses the strength of the transmitted near-infrared rays to highlight the veins.

[0033] 2. Preprocessing of finger vein images

[0034] In order to extract the vein veins of the finger, the original finger vein image ...

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PUM

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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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/54G06K9/62
Inventor 王科俊管凤旭冯伟兴马慧刘靖宇吴秋雨
Owner 南通氢清爽爽健康科技有限公司
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