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Hand Vein Image Extraction Method #br#  Based on CLAHE and Improved NIBLACK Algorithm

  

  1. College of Computer Science and Technology, Pingdingshan University, Pingdingshan 467000, China
  • Received:2014-12-24 Online:2015-04-27 Published:2015-04-29

Abstract:

In order to meet the demand for the feature extraction of hand vein recognition, this paper takes a study on hand vein extraction method. Firstly, before the
image binaryzation processing, By using CLAHE algorithm the hand vein images is enhanced. Because of the traditional NIBLACK algorithm’s problems such as noises, broken lines
and edge threshold missing and so on, we propose an improved algorithm which combined local static threshold method with the NIBLACK algorithm to segment the vein image.
Experimental results show that the methods of CLAHE and improved NIBLACK algorithm can effectively overcome the impact of the intensity on image extraction, and eliminate the
problems of noise and broken lines. So we can obtain original and clear vein structure, which meets the needs of hand vein recognition.

Key words: hand vein, image enhancement, CLAHE algorithm, NIBLACK algorithm