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Hand Vein Image Enhancement With Radon Like Features Descriptor

Authors: Randa Boukhris Trabelsi, Alima Damak Masmoudi, Dorra Sellami Masmoudi

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.

Keywords: Hand Vein, Enhancement, Contrast, RLF, SDME

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070837

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References:


[1] Jing Zhang and Jinfeng Yang, Finger-Vein Image Enhancement Based on Combination of Gray-Level Grouping and Circular Gabor Filter, International Conference on Information Engineering and Computer Science, 2009.
[2] Andinet Enquobahrie and Luis Ibanez, Vessel Enhancing Diffusion Filter, Insight Journal, 2007.
[3] Jinfeng Yang and Minfu Yan, An Improved Method for Finger-vein Image Enhancement, IEEE 10th International Conference on Signal Processing (ICSP), 2010.
[4] Daugman, J. G. Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters, Journal of the Optical Society of America, 1985.
[5] Jianwei Yang, Lifeng Liu, Tianzi Jiang and Yong Fan, A modified Gabor filter design method for fingerprint image enhancement, Pattern Recognition Letters, pp.1805- 1817 (2003).
[6] L. Ma, T. Tan, Y. Wang and D. Zhang, Personal identification based on iris texture analysis, IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003.
[7] David Zhang, Wai Kin Kong, On Line Palmprint Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003.
[8] J. Zhao, X. Xiong, L. Zhang, T. Fu and Y. Zhao, Study on enhanced algorithm of hand vein image based on CLAHE and Top-hat transform, Chinese journal of Laser and Nfrared, pp. 220-222, 2009.
[9] Seungjoon Yang, Jae Hwan Oh, and Yungjun Park, Contrast enhancement using histogram equalization with bin underflow and bin overflow, International Conference on Image Processing (ICIP), 2003.
[10] Ritwik Kumar, Amelio Vazquez-Reina and Hanspeter Pfister, Radon- Like Features and their Application to Connectomics, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2010.
[11] Hand vein database is available to "http://bosphorus.ee.boun.edu.tr/".
[12] R.M. Haralick , Statistical and structural approachs to texture, Proceedings of the IEEE In Proceedings of the IEEE 67 (1979), 786-804.