The week's pick
Reseach Article
An Enhanced Palm Vein Recognition System Using Multi-level Fusion of Multimodal Features and Adaptive Resonance Theory
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 20 |
| Year of Publication: 2010 |
| Authors: M.Deepamalar, M.Madheswaran |
10.5120/414-612
|
M.Deepamalar, M.Madheswaran . An Enhanced Palm Vein Recognition System Using Multi-level Fusion of Multimodal Features and Adaptive Resonance Theory. International Journal of Computer Applications. 1, 20 ( February 2010), 95-101. DOI=10.5120/414-612
Abstract
An improved palm vein recognition system using multimodal features and neural network classifier has been developed and presented in this paper. The effects of fusion of multiple features at various levels have been demonstrated. The shape and texture features have been considered for recognition of authenticated users and it is validated using neural network classifier. The recognition accuracy of the proposed system has been compared with the existing techniques. It is found that the recognition accuracy is 99.61% when the multimodal features fused at matching score level. This proposed multimodal palm vein recognition system is expected to provide reliable security.
References
- Fujitsu Computer Products of America, Inc., www.fcpa.fujitsu.com –White Paper –“Palm Vein Authentication Technology “.2006.
- L.Wang and C.G Leedham, “A Thermal Hand Vein Pattern Verification System”, In Lecture Notes in Computer Science, Springer, 2005.
- Jian-Gang Wang, Wei-Yun yau, Andy Suwandy, “Fusion of Palmprint and palm vein images for person recognition based on “laplacianpalm” feature”, 1-4244-1180-7/07/ IEEE- 2007.
- Jian-Gang Wang, Wei-Yun yau, Andy Suwandy, “Feature Level Fusion of Palmprint and palm vein for person recognition based on a “Junction Point” Representation ”, 978-1-4244-1764-3/08/IEEE- 2008.
- Zhongli Wang, Baochang Zhang, Weiping Chen, Yongsheng Gao, “A performance Evaluation of Shape and Texture based methods for vein recognition”, DOI 10.1109/CSIP.2008.106 – 978-0-7695-3119/08- IEEE – 2008.
- Chih-Lung Lin, Kuo-Chin Fan, “Biometric Verification Using Thermal Images of Palm-Dosra Vein Patterns”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.14, No.2, Feb 2004.
- Weickert. J. “Coherence-enhancing Diffusion Filtering”, International Journal of Computer Vision, Vol. 31(2/3), Pages 111-127, 1999.
- Guy Gilboa, Nir Sochen and Yehoshua Y. Zeevi, “Image Enhancement and Desnoising by Complex Diffusion Processes”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.26, No.8, 2004.
- Guy Gilboa, Nir Sochen and Yehoshua Y. Zeevi, “Regularized Shock Filters and Complex Diffustion”, Springer – Verlag Nerling Heidelberg, ECCV 2002, LNCS 2350, pp 399-413, 2002.
- Suleyman Malki, Yu Fuqiang, Lambert Spaanenburg, “Vein Feature Extraction Using DT-CNNs”, International Workshop on Cellular Neural Networks and Their Applications, IEEE 2006.
- Julien Doublet, Olivier Lepetit, Marinette Revenu, “Contact less Hand Recognition Using Shape and Texture Features”, ICSP2006 Proceedings.
- Somol. P, Pudil. P, Novovicova. J, Paclik. P, “Adaptive Floating Search Methods in Feature Selection”, Pattern Recognition Letters 20, 1157 – 1163, 1999.
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