NDLI: Research on Enhancing Human Finger Vein Pattern Characteristics Based on Adjacent Node Threshold Image Method

Content Provider	IEEE Xplore Digital Library
Author	Xue-Bing Wen Xue-Zhang Liang
Copyright Year	2010
Abstract	An image of a finger captured under infrared light contains not only the vein pattern but also irregular shading produced by the various thicknesses of the finger bones and muscles. In this paper, we propose a new method to enhance the contrast of the finger vein image. It consists of five parts: wavelet denoising, normalization, adjacent node threshold image method, eliminate black block and burr, thinning. Firstly, we perform stationary wavelet decomposition and transform the image into four frequency bands and design different denoising methods to different frequency bands. Then, we nomalizate efficitive gray value range of finger-vein image to [0, 255]. And then, the binary image is got by adjacent node threshold image method. In the next, small blocks and burr are eliminated basing on the area size and by median filter algorithm separately. Finally, we obtain the skeleton by the quick thinning algorithm. The experiments show that the proposed method can properly enhance the contrast of the finger-vein image and make the skeleton express geometric structure of the hand vein image better.
Starting Page	552
Ending Page	556
File Size	149196
Page Count	5
File Format	PDF
ISBN	9781424477791
DOI	10.1109/FCST.2010.84
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms adjacentnode threshold image method Veins Fingers Noise reduction Feature extraction wavelet denoising finger-vein image contrast enhancement Pixel
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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