BI-MODAL PALM PRINT AND KNUCKLE PRINT RECOGNITION SYSTEM
DOI:
https://doi.org/10.33736/jita.37.2010Keywords:
Palm print recognition, knuckle print recognition, real-time hand tracking, ridgelet transform, score level fusion.Abstract
This paper proposed an innovative contact-less palm print and knuckle print recognition system. Palm print is referred to as line textures, which contains principal lines, wrinkles and ridges on the inner surface of the palm. On the other hand, knuckle print is denoted as the flexion lines on the inner skin of the knuckles of the fingers. These line patterns are unique and stable, and they offer abundance of useful information for personal recognition. We present a novel palm print and knuckle print tracking approach to automatically detect and capture these features from low resolution video stream. No constraint is imposed and the subject can place his/her hand naturally on top of the input sensor without touching any device. The palm print and knuckle print features are extracted using our proposed Wavelet Gabor Competitive Code and Ridget Transform methods. Several decision-level fusion rules are used to consolidate the scores output by the palm print and knuckle print experts. The fusion of these features yields promising result of EER=1.25% for verification rate.References
Hand-based Biometrics, Biometric Technology Today, Vol 11, No. 7, pp. 9-11, 2003.
https://doi.org/10.1016/S0969-4765(03)07018-8
W. Boles, and S. Chu, "Personal identification using images of the human palms", Proceedings of IEEE Region 10 Annual Conference, Speech and Image Technologies for Computing and Telecommunications, Vol. 1, pp. 295-298, 1997.
E.J. Candes, D.L. Donoho, "Ridgelets: a key to higher-dimensional intermittency," Phil. Trans. Roy. Soc. Lond., Vol. 357, pp. 2495-2509, 1999.
https://doi.org/10.1098/rsta.1999.0444
V. Chatzis, A.G. Bors, I. Pitas, "Multimodal decision-level fusion for person authentication," IEEE Trans. on Systems, Man and Cybernetics, Part A: Systems and Humans, Vol 29(6), pp. 674-681, 1999.
https://doi.org/10.1109/3468.798073
J. Chen, C. Zhang, G. Rong, "Palmprint recognition using creases", Proceedings of International Conference of Image Processing, pp. 234-237, 2001.
T. Connie, A. Jin, M. Ong, D. Ling, "An automated palmprint recognition system", Image and Vision Computing, Vol. 23, No. 5, pp.501-515, 2005.
https://doi.org/10.1016/j.imavis.2005.01.002
S.R. Deans, "The Radon Transform and Some of Its Applications," New York: Wiley, 1983.
M.N. Do and M. Vetterli, "The finite ridgelet transform for image representation," IEEE Trans. Image Process., Vol 12(1), pp. 16-28, 2003.
https://doi.org/10.1109/TIP.2002.806252
D.L. Donoho, "Orthonormal ridgelets and linear singularities," SIAM J. Math. Anal., Vol 31(5), pp. 1062-1099, 2000.
https://doi.org/10.1137/S0036141098344403
N. Duta, A. Jain, K. Mardia, "Matching of palmprint", Pattern Recognition Letters, Vol. 23, pp. 477-485, 2002.
https://doi.org/10.1016/S0167-8655(01)00179-9
J. Funada, N. Ohta, M. Mizoguchi, T. Temma, T. Nakanishi, K. Murai, "Feature extraction method for palmprint considering elimination of creases", Proceedings of the 14th International Conference of Pattern Recognition, pp. 1849-1854, 1998.
D. Huang, W. Jia, D. Zhang, "Palmprint verification based on principal lines", Pattern Recognition, Vol. 41, No. 4, pp. 1316-1328, 2008.
https://doi.org/10.1016/j.patcog.2007.08.016
S. Kung, S. Lin, M. Fang, "A neural network approach to face/palm recognition", Proceedings of IEEE Workshop on Neural Networks for Signal Processing, pp. 323-332, 1995.
M. Leung, A. Fong, H. Cheung, "Palmprint verification for controlling access to shared computing resources", IEEE Pervasive Computing, Vol. 6, No. 4, pp. 40-47, 2007.
https://doi.org/10.1109/MPRV.2007.78
W. Li, D. Zhang, Z. Xu, "Palmprint Identification by Fourier Transform," International Journal of Pattern Recognition and Artificial Intelligence, Vol. 16(4), pp. 417-432, 2003.
https://doi.org/10.1142/S0218001402001757
Q. Li, Z. Qiu, D. Sun, J. Wu, "Personal Identification using knuckleprint," SINOBIOMETRICS, Guangzhou, Vol 2004, pp. 680-689, December 2004.
https://doi.org/10.1007/978-3-540-30548-4_78
N. Loris, L. Alessandra, "A multi-matcher system based on knuckle-based features," Neural Computing and Applications, Springer London, Vol 18, No. 1, pp. 87-91, 2009.
https://doi.org/10.1007/s00521-007-0160-4
G. Lu, D. Zhang, K. Wang, "Palmprint recognition using eigenpalms features," Pattern Recognition Letters, Vol. 24, Issues 9-10, pp. 1473-1477, 2003.
https://doi.org/10.1016/S0167-8655(02)00386-0
G. Michael, T. Connie, T. Andrew, N. David, "A Fast Palm Print Verification System," 3rd International Conference on Computer Graphics, Imaging and Visualization, pp. 168-172, 2006.
G. Michael, T. Connie, T. Andrew, "Touch-less palm print biometrics: Novel design and implementation," Image and Vision Computing, Vol 26, Issue 12, pp. 1551-1560, December 2008.
https://doi.org/10.1016/j.imavis.2008.06.010
M. RafaelDiaz, C. Travieso, J. Alonso, M. Ferrer, "Biometric system based in thefeature of hand palm", Proceedings of 38th Annual International Carnahan Conference on Security Technology, pp. 136-139, 2004.
S. Ribaric, I. Fratric, "A biometric identification system based on eigenpalm and eigenfinger features," IEEE Trans Pattern And Machine Intelligence, Vol. 27(11), pp. 1698-1709, 2005.
https://doi.org/10.1109/TPAMI.2005.209
P. Verlinde, "A Contribution to Multi-Modal Identity Verification Using Decision Fusion", PhD Thesis, Department of Signal and Image Processing, Telecom Paris, France, 1999.
X. Wu, K. Wang, D. Zhang, "Wavelet based palmprint recognition", Proceedings of the First International Conference on Machine Learning and Cybernetics, Vol. 3, pp. 1253-1257, 2002.
X. Wu, D. Zhang, K. Wang, "Fisherpalms based palmprint recognition," Pattern Recognition Letter, Vol 24, pp. 2829-2838, 2003.
https://doi.org/10.1016/S0167-8655(03)00141-7
X. Wu, K. Wang, D. Zhang, "A novel approach of palm-line extraction", Proceeding of the Third International Conference on Image and Graphics, pp. 230-233, 2004.
J. You, W. Kong, D. Zhang, K. Cheung, "On hierarchical palmprint coding with multiple features for personal identification in large databases", IEEE Transactions on Circuits and Systems for Video Technology , Vol. 14, No. 2, pp. 234-243, 2004.
Downloads
Published
How to Cite
Issue
Section
License
Copyright Transfer Statement for Journal
1) In signing this statement, the author(s) grant UNIMAS Publisher an exclusive license to publish their original research papers. The author(s) also grant UNIMAS Publisher permission to reproduce, recreate, translate, extract or summarize, and to distribute and display in any forms, formats, and media. The author(s) can reuse their papers in their future printed work without first requiring permission from UNIMAS Publisher, provided that the author(s) acknowledge and reference publication in the Journal.
2) For open access articles, the author(s) agree that their articles published under UNIMAS Publisher are distributed under the terms of the CC-BY-NC-SA (Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License) which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original work of the author(s) is properly cited.
3) For subscription articles, the author(s) agree that UNIMAS Publisher holds copyright, or an exclusive license to publish. Readers or users may view, download, print, and copy the content, for academic purposes, subject to the following conditions of use: (a) any reuse of materials is subject to permission from UNIMAS Publisher; (b) archived materials may only be used for academic research; (c) archived materials may not be used for commercial purposes, which include but not limited to monetary compensation by means of sale, resale, license, transfer of copyright, loan, etc.; and (d) archived materials may not be re-published in any part, either in print or online.
4) The author(s) is/are responsible to ensure his or her or their submitted work is original and does not infringe any existing copyright, trademark, patent, statutory right, or propriety right of others. Corresponding author(s) has (have) obtained permission from all co-authors prior to submission to the journal. Upon submission of the manuscript, the author(s) agree that no similar work has been or will be submitted or published elsewhere in any language. If submitted manuscript includes materials from others, the authors have obtained the permission from the copyright owners.
5) In signing this statement, the author(s) declare(s) that the researches in which they have conducted are in compliance with the current laws of the respective country and UNIMAS Journal Publication Ethics Policy. Any experimentation or research involving human or the use of animal samples must obtain approval from Human or Animal Ethics Committee in their respective institutions. The author(s) agree and understand that UNIMAS Publisher is not responsible for any compensational claims or failure caused by the author(s) in fulfilling the above-mentioned requirements. The author(s) must accept the responsibility for releasing their materials upon request by Chief Editor or UNIMAS Publisher.
6) The author(s) should have participated sufficiently in the work and ensured the appropriateness of the content of the article. The author(s) should also agree that he or she has no commercial attachments (e.g. patent or license arrangement, equity interest, consultancies, etc.) that might pose any conflict of interest with the submitted manuscript. The author(s) also agree to make any relevant materials and data available upon request by the editor or UNIMAS Publisher.
