IMPROVEMENT ON THE INDIVIDUAL RECOGNITION SYSTEM WITH WRITING PRESSURE BASED ON RBF
Lina Mi, Fumiaki Takeda
2005
Abstract
In our previous research work, an individual recognition system with writing pressure employing neuro-template of multiplayer feedforward network with sigmoid function has been developed. Although this system was effective on recognition for known registrant, its rejection capability for counterfeit signature was not good enough for commercial application. In this paper, a new activation function was proposed to improve the rejection performance of the system for counterfeit signature on the premise of ensuring the recognition performance for known signature. The experiment results showed that compared with original system the proposed activation function was seemed to be effective to improve the rejection capability of the system for counterfeit signature with keeping the recognition capability for known signature satisfied.
References
- Takeda, F. and Omatu, S., 1995. High speed paper currency recognition by neural networks. IEEE Transaction on Neural Networks, Vol.6, No.1,pp.73-77.
- Takeda, F. and Omatu, S., 1996. A neuro-system technology for bank note recognition, Proceedings of the Japan/USA Symposium on Flexible Automation, Boston,USA, Vol.2, pp.1511-1516.
- Takeda, F. and Omatu S., 1998, Neural network systems Technique and applications in paper currency recognition neural networks systems, Technique and Applications, Vo1.5, Chapter 4, pp.133-160, ACADEMIC Press.
- Takeda, F. Omatu, S., and Nishikege, 1996, A neurorecognition technology for paper currency using optimized masks by GA and its hardware, Proceedings of the International Conference on Information System Analysis and Synthesis, Orlando, USA, pp147-152.
- Takeda, F., Nishikage, T. and Matsumoto, 1998, Y., Characteristic extraction of paper currency using symmetrical masks optimized by GA and neurorecognition of multi-national paper currency, Proceedings of IEEE World Congress on Computational Intelligence, Alaska, USA, Vol.1, pp.634-639.
- Fnakubo, M., 1991, Pattern Recognition, Japan: Kyouritsu Press,pp15-25.
- Abhijit S. Pandya, and Robert B. Macy, 1996, Pattern Recognition with Neural Networks in C++, Chapter 5, pp147-151, IEEE Press.
- Kikuti, T., 1989, Introduction to neuro-computer, pp.35- 67, Japan: Omu Press.
- Nagao, M., 1993, Pattern Recognition, Japan: CORONA publishing CO. LTD., pp.92-161.
Paper Citation
in Harvard Style
Mi L. and Takeda F. (2005). IMPROVEMENT ON THE INDIVIDUAL RECOGNITION SYSTEM WITH WRITING PRESSURE BASED ON RBF . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 157-162. DOI: 10.5220/0002511401570162
in Bibtex Style
@conference{iceis05,
author={Lina Mi and Fumiaki Takeda},
title={IMPROVEMENT ON THE INDIVIDUAL RECOGNITION SYSTEM WITH WRITING PRESSURE BASED ON RBF},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={157-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002511401570162},
isbn={972-8865-19-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - IMPROVEMENT ON THE INDIVIDUAL RECOGNITION SYSTEM WITH WRITING PRESSURE BASED ON RBF
SN - 972-8865-19-8
AU - Mi L.
AU - Takeda F.
PY - 2005
SP - 157
EP - 162
DO - 10.5220/0002511401570162