Improvement of reliability in banknote classification using reject option and local PCA

Author:

Ahmadi Ali,Omatu Sigeru,Fujinaka Toru,Kosaka Toshihisa

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference11 articles.

1. A. Ahmadi, S. Omatu, A high reliability method for classification of paper currency based on neural networks, in: Proceeding of The Eighth International Symposium on Artificial Life and Robotics (AROB 8th '03) 2, Oita, Japan, 2003, pp. 601-604

2. On optimum error and reject trade-off;Chow;IEEE Transactions on Information Theory,1970

3. L.P. Cordella, P. Foggia, C. Sansone et al., Optimizing the error/reject trade-off for a multi-expert system using the Bayesian combining rule, in: Proceeding of the International Workshop on Structural and Syntactic Pattern Recognition (SSPR), Sydney, NSW, Australia, 1998, pp. 716–725

4. Reliability parameters to improve combination strategies in multi-expert systems;Cordella;Pattern Analysis and Applications,1999

5. A neural network-based model for paper currency recognition and verification;Frosini;IEEE Transactions on Neural Networks,1996

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