@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}, }