An effective and practical classifier fusion strategy for improving handwritten character recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2, Issue , 2007, Pages 1038-1042

  Fu, Qiang ^a   Ding, X Q ^a   Li, T Z ^a   Liu, C S ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; FUSION REACTIONS; LEARNING SYSTEMS; NUCLEAR PHYSICS;

DOCUMENT ANALYSIS; HAND WRITTEN CHARACTER RECOGNITION; INTERNATIONAL CONFERENCES;

CHARACTER RECOGNITION;

EID: 51149089301     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2007.4377073     Document Type: Conference Paper

References (14)

1. Nafiz Arica and Fatos T. Yarman-Vural, "An Overview of Character Recognition Focused on Off-Line Handwriting", IEEE Trans. On Systems, Man and Cybernetics, 2001, Vol. 31, No. 2, pp. 216-233.
2. Hailong Liu, Xiaoqing Ding, "Handwritten Character Recognition Using Gradient Feature and Quadratic Classifier with Multiple Discrimination Schemes", Proceeding of the International Conference on Document Analysis and Recognition, 2005.
3. F.Kimura, K.Takashina, S.Tsuruoka, and Y.Miyake, "Modified quadratic discriminant functions and its application to Chinese character recognition", IEEE Trans. On Pattern Analysis and Machine Intelligence, 1987, Vol. 9, No. 1, pp. 149-153.
4. Xiaofan Lin, Xiaoqing Ding, Ming Chen, Rui Zhang, and Youshou Wu, "Adaptive confidence transform based classifier combination for Chinese character recognition", Pattern Recognition Letters, 1998, Vol. 19, pp. 975-988.
5. K. Sirlantzis, S. Hoque, and M.C. Fairhurst, "Trainable Multiple Classifier Schemes for Handwritten Character Recognition", Lecture Notes in Computer Science, 2002, Vol. 2364, pp. 169-178.
6. C.Y. Suen, L. Lam, "Multiple classifier combination methodologies for different output levels", Lecture Notes in Computer Science, 2000, vol. 1857, pp. 52-66.
7. A. F. R. Rahman, and M. C. Fairhurst, "Multiple classifier decision combination strategies for character recognition: A review", International Journal on Document Analysis and Recognition, 2003, Vol. 5, No. 4, pp. 166-194.
8. Chenglin Liu, "Classifier combination based on confidence transformation", Pattern Recognition, 2005, Vol. 38, No. 1, pp. 11-28.
9. Richard O. Duda, Peter E. Hart and David G. Stork, Pattern Classification (2nd ed.), Wiley-Interscience, 2001.
10. Stephen J. Smith, Mario O. Bourgoin, Karl Sims, and Harry L. Voorhees, "Handwritten Character Classification Using Nearest Neighbor in Large Databases", IEEE Trans. On Pattern Analysis and Machine Intelligence, 1994, Vol. 16, No. 9, pp. 915-919.
11. J.Friedman, T. Hastie, and R. Tibshirani, "Additive Logistic Regression: a Statistical View of Boosting", Annals of Statistics, 2000, Vol. 28, No. 2, pp. 337-407.
12. R. Schapire and Y. Singer, "Improved Boosting Algorithm Using Confidence-rated Prediction", Machine Learning, 1999, Vol. 37, No. 3, pp. 297-336
13. th International Conference on Machine Learning, 1997, pp. 313-321
14. th Annual Conf. Computational Learning Theory, 1999, pp145-155