Finger vein identifying method based on characteristic value normalization and bidirectional weighting

A finger vein and recognition method technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as increased rejection rate, poor system reliability, and unclean fingerprint device, so as to improve recognition speed, The effect of improving the recognition accuracy and stabilizing the recognition rate

Inactive Publication Date: 2010-07-28
HARBIN ENG UNIV
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Problems solved by technology

[0005] (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;
[0006] (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, can not provide good quality images to be tested and registered, so these People cannot be identified by fingerprints
[0007] (3) During the process of fingerprint collection, factors such as the twisting and stretching of the finger press, and the pressing force will cause the fingerprint to deform

Method used

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  • Finger vein identifying method based on characteristic value normalization and bidirectional weighting
  • Finger vein identifying method based on characteristic value normalization and bidirectional weighting
  • Finger vein identifying method based on characteristic value normalization and bidirectional weighting

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Embodiment Construction

[0037] The present invention is described in more detail below in conjunction with accompanying drawing example:

[0038] 1. Acquisition of infrared images of finger veins

[0039] 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.

[0040] 2. Preprocessing of finger vein images

[0041] In order to extract the vein veins of the finger, the original finger vein image is

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Abstract

The invention provides a finger vein identifying method based on characteristic value normalization and bidirectional weighting. The method comprises the following steps of: (1) collecting finger vein images by an image collecting device; (2) carrying out preprocessing on the collected finger vein images, wherein the preprocessing comprises the steps of graying the color images, extracting finger areas, respectively eliminating salt and pepper noise and Gauss noise by adopting a combined filter, segmenting and binarizing the images by adopting a local dynamic threshold algorithm, de-noising by adopting an area eliminating method, extracting the finger vein venation images by finger contour markers, and standardizing the sizes of the images into that of the uniform images; (3) extracting a finger vein characteristic by a two-dimensional main component analyzing algorithm with weighting in two directions of the line; and (4) matching and identifying by a most adjacent classifier. The invention is used for a finger vein identifying system, obviously enhances the identifying speed of the finger veins, and has stable and high identifying rate.

Description

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Claims

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Application Information

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Owner HARBIN ENG UNIV
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