@article{(Open Science Index):https://publications.waset.org/pdf/8409,
	  title     = {Hand Vein Image Enhancement With Radon Like Features Descriptor},
	  author    = {Randa Boukhris Trabelsi and  Alima Damak Masmoudi and  Dorra Sellami Masmoudi},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {7},
	  number    = {6},
	  year      = {2013},
	  pages     = {797 - 800},
	  ee        = {https://publications.waset.org/pdf/8409},
	  url   	= {https://publications.waset.org/vol/78},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 78, 2013},
	}