Hand vein image enhancement based on phase congruency

Zhuo Peng; Zhiyong Wang; Xiaoping Yang

doi:10.1117/12.2284397

24 October 2017 Hand vein image enhancement based on phase congruency

Zhuo Peng, Zhiyong Wang, Xiaoping Yang

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 1046229 (2017) https://doi.org/10.1117/12.2284397
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

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.

Citation Download Citation

Zhuo Peng, Zhiyong Wang, and Xiaoping Yang "Hand vein image enhancement based on phase congruency", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 1046229 (24 October 2017); https://doi.org/10.1117/12.2284397

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