WASET
	%0 Journal Article
	%A Randa Boukhris Trabelsi and  Alima Damak Masmoudi and  Dorra Sellami Masmoudi
	%D 2013
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 78, 2013
	%T Hand Vein Image Enhancement With Radon Like Features Descriptor
	%U https://publications.waset.org/pdf/8409
	%V 78
	%X Nowadays, hand vein recognition has attracted more attentions in identification biometrics systems. Generally, hand vein image is acquired with low contrast and irregular illumination. Accordingly, if you have a good preprocessing of hand vein image, we can easy extracted the feature extraction even with simple binarization. In this paper, a proposed approach is processed to improve the quality of hand vein image. First, a brief survey on existing methods of enhancement is investigated. Then a Radon Like features method is applied to preprocessing hand vein image. Finally, experiments results show that the proposed method give the better effective and reliable in improving hand vein images.

	%P 797 - 800