A classifier for Bangla handwritten numeral recognition

Expert Systems with Applications

Volumn 39, Issue 1, 2012, Pages 948-953

  Wen, Ying ^a,b   He, Lianghua ^b,c  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c Department of Computer Science and Technology   (China)

Author keywords

Bayesian discriminant; Kernel; Numeral recognition

Indexed keywords

BAYESIAN DISCRIMINANTS; CLASSIFICATION CRITERION; DISTRIBUTION CHARACTERISTICS; EIGENVALUES; HANDWRITTEN NUMERAL RECOGNITION; KERNEL; MATRIX INVERSE; NOVEL PATTERNS; NUMERAL RECOGNITION; TRAINING ERRORS;

EIGENVALUES AND EIGENFUNCTIONS; INVERSE PROBLEMS;

CHARACTER RECOGNITION;

EID: 81855207442     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.07.092     Document Type: Article

References (29)

1. Blake, C.; Keogh, E.; & Merz, C. J. (1998). UCI repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science. .
2. G. Cawley, and N. Talbot Constructing Bayesian formulations of sparse kernel learning methods Neural Networks 18 2005 674 683
3. J.H. Chen, and C.S. Chen Reducing SVM classification time using multiple mirror classifiers IEEE Transaction on Systems, Man,and Cybernetics 34 2 2004 173 1183
4. S.B. Cho Neural-network classifiers for recognizing totally unconstrained handwritten numerals IEEE Transaction on Neural Networks 8 1 1997 43 53
5. N. Cristianini, and J.S. Taylor An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods 2000 Cambridge University Press.
6. J.X. Dong, A. Krzyzak, and C.Y. Suen Fast SVM training algorithm with decomposition on very large data sets IEEE Transactions on Pattern Analysis and Machine Intelligence 27 4 2005 603 618
7. M.J. Er, S. Wu, and H.L. Toh Face recognition with RBF neural networks IEEE Transaction on Neural Networks 13 3 2002 697 710
8. K. Fukunaga Introduction to statistical pattern recognition 2nd ed. 1990 Academic Press New York
9. K. Fukunaga, and D.L. Kessell Estimation of classification error IEEE Transaction on Computers 20 12 1971 1521 1527
10. C. Gagne, and M. Parizeau Coevolution of nearest neighbor classifiers International Journal of Pattern Recognition and Artificial Intelligence 21 5 2007 921 946
11. Y. Hamamoto, S. Uchimura, and S. Tomita A bootstrap technique for nearest neighbor classifier design IEEE Transaction on Pattern Analysis and Machine Intelligence 19 1 1997 73 79
12. Hastie, T.; Tibshirani, R.; & Friedman, J. H. (2001). The Elements of Statistical Learning: Data Mining, Inference and Prediction (Springer Series in Statistics).
13. H.J. Kang Combination of multiple classifiers by minimizing the upper bound of Bayes error rate for unconstrained handwritten numeral recognition International Journal of Pattern Recognition and Artificial Intelligence 19 36 2005 395 413
14. Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner Gradient-based learning applied to document recognition Proceedings of the IEEE 80 11 1998 2278 2324
15. Lecun,Y.; Jackel, L. D.; Bottou, L.; Cortes, C.; Denker, J. S.; Drucker, H.; et al. (1995). Comparison of learning algorithms for handwritten digit recognition. In Proceedings of the international conference on artificial neural networks, Paris (pp. 53-60).
16. S.W. Lee Multilayer cluster neural network for totally unconstrained handwritten numeral recognition Neural Networks 8 5 1995 783 792
17. B. Li, K. Wang, and D. Zhang On-line signature verification based on PCA and MCA (minor component analysis) ICBA 2004
18. N. Mezghani, A. Mitiche, and M. Cheriet Bayes classification of online arabic characters by gibbs modeling of class conditional densities IEEE Transactions on Pattern Analysis and Machine Intelligence 2008 1121 1131
19. J. Ni, C. Zhang, and S.X. Yang An adaptive approach based on KPCA and SVM for real-time fault diagnosis of HVCBs IEEE Transactions on Power Delivery 2011 1960 1971
20. Osuna, E.; Freund, R.; & Girosi, F. (1997). Training support vector machines: an application to face detection. In Proceedings of computer vision and pattern recognition (pp. 130-136).
21. M. Partridge, and R.A. Calvo Fast dimensionality reduction and simple PCA Intelligent Data Analysis 1998 203 214
22. M. Pontil, and A. Verri Support vector machines for 3-D object recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 20 1998 637 646
23. B. Scholkopf, A. Smola, and K.R. Mller Nonlinear component analysis as a kernel eigenvalue problem Neural Computing 10 1999 1299 1319
24. V. Vapnik The nature of statistical learning theory 1995 Springer-Verlag New York
25. Wen, Y.; & Shi, P. F. (2007). Image PCA: A new approach for face recognition. In IEEE international conference on acoustics, speech, and signal processing (pp. 1241-1244).
26. Y. Wen, Y. Lu, J.Q. Yan, Z.Y. Zhou, K.M. von Deneen, and P.F. Shin An algorithm for license plate recognition applied to intelligent transportation system IEEE Transactions on Intelligent Transportation Systems 2011 1 16
27. Y. Wen, Y. Lu, and P.F. Shi Handwritten Bangla numeral recognition system and its application to postal automation Pattern Recognition 40 2007 99 107
28. T. Windeatt Accuracy/diversity and ensemble MLP classifier design IEEE Transaction on Neural Networks 17 5 2006 1194 1211
29. R. Zhang, X.Q. Ding, and H.L. Liu Discriminant training based quadratic classifier for handwritten character recognition International Journal of Pattern Recognition and Artificial Intelligence 21 6 2007 1035 1046