Share Email Print

Proceedings Paper

Hand vein image enhancement based on phase congruency
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

It is necessary to improve the quality of the captured hand vein image in the vein display device and vein recognition system. In this paper, a method of hand vein image enhancement based on phase congruency is proposed according to the structure and features of human hand vein images. Firstly, multiple images containing vein edges are acquired by applying phase congruency which parameters are set differently, and two images that contain the majority of vein and less noise are selected by image entropy values, then the chosen images will be enhanced by contrast enhancement. Finally, the original image and the enhanced image will be fused in gradient domain. The experiment results show that the proposed algorithm can enhance the contrast of the hand vein images efficiently, improve the quality of image significantly, and suppress noise perfectly.

Paper Details

Date Published: 24 October 2017
PDF: 7 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046229 (24 October 2017);
Show Author Affiliations
Zhuo Peng, Tianjin Univ. of Technology (China)
Zhiyong Wang, Tianjin Univ. of Technology (China)
Xiaoping Yang, Tianjin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?