Improving handwritten Chinese text recognition by confidence transformation

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

Volumn , Issue , 2011, Pages 518-522

  Wang, Qiu Feng ^a   Yin, Fei ^a   Liu, Cheng Lin ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

confidence transformation; cross entropy; Handwritten text recognition; non characters

Indexed keywords

CHINESE TEXT; CONFIDENCE TRANSFORMATION; CONFIDENCE VALUES; CROSS ENTROPY; DATA SETS; DEMPSTER-SHAFER THEORY OF EVIDENCE; HANDWRITTEN TEXT RECOGNITION; LOSS FUNCTIONS; MULTI-CLASS; NON-CHARACTERS; OUTLIER REJECTION; TEXT RECOGNITION;

ENTROPY; FORMAL LOGIC; PARAMETER ESTIMATION;

CHARACTER RECOGNITION;

EID: 82355168523     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2011.110     Document Type: Conference Paper

References (16)

1. M. Cheriet, N. Kharma, C.-L. Liu, C.Y. Suen, Character Recognition Systems: A Guide for Students and Practioners, John Wiley & Sons, Inc. 2007.
2. X. Lin, X. Ding, M. Chen, R. Zhang, Y. Wu, Adaptive confidence transform based on classifier combination for Chinese character recognition. Pattern Recogn Lett. 19 (10) 975-988, 1998. (Pubitemid 128429333)
3. C.-L. Liu, Classifier combination based on confidence transformation, Pattern Recognition 38 (1) 11-28, 2005.
4. Y.X. Li, C.L. Tan, X. Ding, A hybrid postprocessing system for offline handwritten Chinese script recognition, Pattern Analysis and Applications 8, 272-286, 2005. (Pubitemid 41720539)
5. Y. Jiang, X. Ding, Q. Fu, Z. Ren, Context driven Chinese string segmentation and recognition, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR Int. Workshops, LNCS, Vol.4109, 127-135, 2006.
6. C.-L. Liu, M. Nakagawa, Precise candidate selection for large Character set recognition by confidence evaluation, IEEE Trans. Pattern Anal. Mach. Intell. 22 (6) 636-642, 2000.
7. C.-L. Liu, H. Sako, H. Fujisawa, Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings, IEEE Trans. Pattern Anal. Mach. Intell. 26 (11) 1395-1407, 2004. (Pubitemid 40168018)
8. F. Kimura, K. Takashina, S. Tsuruoka, Y. Miyake, Modified quadratic discriminant functions and the application to Chinese character recognition, IEEE Trans. Pattern Anal. Mach. Intell. 9 (1) 149-153, 1987. (Pubitemid 17534858)
9. Q.-F. Wang, F. Yin, C.-L. Liu, Integrating language model in handwritten Chinese text recognition, Proc. 10th ICDAR, Barcelona, Spain, 1036-1040, 2009.
10. C.-L. Liu, M. Koga, H. Fujisawa, Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading, IEEE Trans. Pattern Anal. Mach. Intell., 24(11): 1425-1437, 2002. (Pubitemid 35421788)
11. D. Povey, P.C. Woodland, Minimum phone error and Ismoothing for improved discriminative training. Proc. ICASSP, Orlando, FL, 2002.
12. M.-Y. Chen, A. Kundu, S.N. Srihari, Variable duration Hidden Markov model and morphological segmentation for handwritten word recognition, IEEE Trans. Image Processing, 4 (12) 1675-1688, 1995.
13. C.-M. Bishop, Neural Networks for Pattern Recognition, Clarendon Press, Oxford, 1995.
14. J.A. Barnett, Computational methods for a mathematical theory of evidence, Proc. 7th IJCAI, Vancouver, Canada, 868- 875, 1981.
15. C.-L. Liu, Normalization-cooperated gradient feature extraction for handwritten character recognition, IEEE Trans. Pattern Anal. Mach. Intell. 29 (8) 1465-1469, 2007. (Pubitemid 47040443)
16. X.-B. Jin, C.-L. Liu, X. Hou, Regularized margin-based conditional log-likelihood loss for prototype learning, Pattern Recognition 43 (7) 2428-2438, 2010.