Combinative Neural-Network-Based Classifiers for Optical Handwritten Character and Letter Recognition

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2003, Pages 2232-2237

  Daqi, Gao ^a   Chao, Xie ^a   Guiping, Nie ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

MULTILAYER NEURAL NETWORKS; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; SET THEORY;

COMBINATIVE CLASSIFIERS;

CHARACTER RECOGNITION;

EID: 0141857573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Lei Xu, A. Krzyzak, C. Y. Suen. "Methods of combining multiple classifiers and their applications to handwriting recognition," IEEE Transactions on Sys., Man, and Cyber. Vol. 22, pp. 418-435, 1992.
2. T. K. Ho, J. J. Hull, S. N. Srihari. "Decision combination in multiple classifier systems," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, pp66-75, 1994.
3. C. Ji, S. Ma. "Combinations of Weak Classifiers," IEEE Transactions on Neural Networks, Vol. 8, pp. 32-42, 1997.
4. F. Kimura, M. Shridhar. "Handwritten numerical recognition based on multiple algorithm," Pattern Recognition, Vol. 24, pp. 969-983, 1991.
5. V. D. Mazurov, A. I. Krivonogov, V. L. Karantsev. "Solving of optimization and identification problems by the committee methods," Pattern Recognition, Vol. 20, pp. 371-378, 1987.
6. E. M. Kleinberg. "Stochastic discrimination," Ann. Math. Artificial Intelligence, Vol. 1, pp. 207-239, 1990.
7. V. N. Vapnik. "An overview of statistical learning theory," IEEE Transactions on Neural Networks, Vol. 10, pp. 988-999, 1999.
8. T. Poggio, F. Girosi. "Networks for approximation and learning," Proceedings of IEEE, Vol. 78, pp. 1481-1495, 1990.
9. R. P. Lippmann. "Pattern classification using neural networks, " IEEE Communication Magazine, Vol. 11, pp. 47-64, 1989.
10. C. M. Bishop. Neural networks for pattern recognition. Clarendon Press, Oxford, 1998.
11. Gao Daqi, Yang Genxing. "Influences of variable scales and activation functions on the performances of multilayer feedforward neural networks," Pattern Recognition. 36(4), pp. 869-878, 2003.
12. ftp://ftp.ics.uci.edu/pub/mechine-learning-databases or http://www.ics.uci.edu/̃mlearn.
13. Sung-Bae Cho. "Neural-network classifiers for recognizing totally unconstrained handwritten numerals," IEEE Transactions on Neural Networks, Vol. 8, pp. 43-53, 1997.
14. J. Kittier, M. Hatef, R. P. W. Duin, et al. "On combining classifiers," IEEE Transactions an PAMI, Vol. 20(3), pp. 226-239, 1998.
15. W. P. Kegelmeyer, K. Bowyer. "Combination of multiple classifiers using local accuracy estimates," IEEE transactions on PAMI, Vol. 19(4), pp. 406-410, 1997.
16. L. Lam, C. Y. Suen. "Application of majority voting to pattern recognition: an analysis of its behavior and performance," IEEE Transactions on System, Man, and Cybernetics-Part A, Vol. 27(5), pp. 553-568, 1997.
17. R. Anand, K. Mehrotra, C. K. Mohan, et al. "Efficient classification for multiclass problems using modular neural networks," IEEE Transactions on Neural Networks, Vol. 6(1), pp. 117-124, 1995.
18. B. L. Lu, M. Ito. "Task decomposition and module combination based on class relations: a modular neural network for pattern classification," IEEE Trans. on Neural Networks, Vol. 10(5), pp.1244-1256, 1999.
19. M. Demirekler, H. Altincay. "Plurality voting-based multiple classifier systems: statistically independent with respect to dependent classifier sets," Pattern Recognition, Vol. 35, pp.2365-2379, 2002.
20. H. Altincay, M. Demirekler. "Undesirable effects of output normalization in multiple classifier systems," Pattern Recognition Letters, Vol. 24, pp. 1163-1170, 2003.
21. Y. Lu, C. L. Tan. "Combination of multiple classifiers using probabilistic dictionary and its application to postcode recognition," Pattern Recognition, Vol. 35, pp. 2823-2832, 2002.