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Ambeth Kumar, V. D.
- Manifold Feature Extraction for Foot Print Image
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PDF Views:375
Authors
Affiliations
1 Department of CSE, Sathyabama University, Chennai, IN
2 Department of IT, Velemmal Engineering College, Chennai, IN
1 Department of CSE, Sathyabama University, Chennai, IN
2 Department of IT, Velemmal Engineering College, Chennai, IN
Source
Indian Journal of Bioinformatics and Biotechnology, Vol 1, No 2 (2012), Pagination: 28-31Abstract
In this paper, the new biometric of FOOT PRINT RECOGNITION SYSTEM have been introduced. The foot image is proved to be distinct for every human being. On the image of the footprint obtained we performed pre-processing followed by the vital step of feature extraction. The best part of this technique is the use of multiple feature extraction techniques. This feature from the foot image is extracted, classified and then recognized. The use of multiple feature extraction will provide us with better accuracy.Keywords
Footprint, Gabor Filter, Wavelet, FNN, SVMFull Text
References
- Ye, Syoji Kobashi, Yutaka Hata Kazuhiko Taniguchi Kazunari Asari “ Biometric System by Foot Pressure Change Based on Neural Network”, 2009.
- V.D.Ambeth Kumar and Dr.M.Ramakrishnan,” Lecagyof Footprint Recognition Computer Applications, Vol 35, No-11, Page 9 9-16,Dec 2011.
- K. Nakajima, Y. Mizukami, K. Tanaka, and T. Tamura, “Foot-Based Personal Recognition”, IEEE: Tr. On Biomedical Engineering, Vol. 47, No. 11, 2000.
- Sean W. Yip, B.S. and Thomas E. Prieto, “A System for Force Distribution Measurement Beneath The Feet”, IEEE Conference publication ,pp 32-34, 2004.
- Pier Luigi Dragotti and Martin Vetterli, “Wavelet Footprint: Theory, Algorithms, and Application”, IEEE Trans.Signal Processing, Vol.51, No.5 May 2003.
- Jin -Woo Jung and Zeungnam Bien ,” Dynamic-Footprint based Person Identification using Mat-type Pressure Sensor ” IEEE 2003.
- Multiple Feature Extraction for Foot Print Image
Abstract Views :305 |
PDF Views:1
Authors
Source
National Journal of System and Information Technology, Vol 5, No 2 (2012), Pagination: 142-154Abstract
In this paper we introduce the new biometric of FOOT PRINT RECOGNITION SYSTEM. This foot image is proved to be distinct for every human being. On the image of the footprint obtained we perform pre-processing. Next we perform the vital step of feature extraction. The best part of this technique is that we use multiple feature extraction techniques. This feature from the foot image is extracted, classified and then recognized. The use of multiple feature extraction will provide us with better accuracyKeywords
Footprint, Gabor Filter, Wavelet, FNN, SVM
References
- Ye, Syoji Kobashi, Yutaka Hata Kazuhiko Taniguchi Kazunari Asari “ Biometric System by Foot Pressure Change Based on Neural Network”, 2009.
- V.D.Ambeth Kumar and Dr.M.Ramakrishnan,” Lecagyof Footprint Recognition Computer Applications, Vol 35, No-11, Page 9 9-16,Dec 2011.
- K. Nakajima, Y. Mizukami, K. Tanaka, and T. Tamura, “Foot-Based Personal Recognition”, IEEE: Tr. On Biomedical Engineering, Vol. 47, No. 11, 2000.
- Sean W. Yip, B.S. and Thomas E. Prieto, “A System for Force Distribution Measurement Beneath The Feet”, IEEE Conference publication ,pp 32-34, 2004.
- Pier Luigi Dragotti and Martin Vetterli, “Wavelet Footprint: Theory, Algorithms, and Application”, IEEE Trans.Signal Processing, Vol.51, No.5 May 2003.
- Jin -Woo Jung and Zeungnam Bien ,” Dynamic-Footprint based Person Identification using Mat-type Pressure Sensor ” IEEE 2003.
- Face Recognition Using Localized Kernel Eigen Spaces
Abstract Views :148 |
PDF Views:2
Authors
Affiliations
1 Computer Science and Engineering, Panimalar Engineering College, Chennai, IN
2 Loyola Institute of Technology, Chennai, IN
1 Computer Science and Engineering, Panimalar Engineering College, Chennai, IN
2 Loyola Institute of Technology, Chennai, IN