Method for extracting, matching and recognizing characteristics of finger veins
A finger vein feature and finger vein technology, which is applied in the field of finger vein feature identity authentication technology, can solve the problems of dirty fingers, unclean fingerprints, and insufficiently clear fingerprint images, so as to improve the recognition accuracy, reduce the amount of calculation, and improve the The effect of recognition speed
A finger vein feature and finger vein technology, which is applied in the field of finger vein feature identity authentication technology, can solve the problems of dirty fingers, unclean fingerprints, and insufficiently clear fingerprint images, so as to improve the recognition accuracy, reduce the amount of calculation, and improve the The effect of recognition speed
CN101840511BInactive Publication Date: 2013-08-28HARBIN ENG UNIV
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[0047] The present invention is described in more detail below in conjunction with accompanying drawing example:
[0048] 1. Acquisition of infrared images of finger veins
[0049] 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.
[0050] 2. Preprocessing of finger vein images
[0051] In order to extract finger vein veins, the finger contour is first determined and...
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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 [0001] The invention relates to a biometric identification technology. In particular, a finger vein feature authentication technology. Background technique [0002] 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: [0003] (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; [0004] (2) The report of the National Ins...
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Patent Timeline
28 Aug 2013
Publication
CN101840511B
- IPC
- G06K9/00; G06K9/62
- Inventors
- 管凤旭; 王科俊