Accuracy improvement of handwritten numeral recognition by mirror image learning

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

Volumn 2001-January, Issue , 2001, Pages 338-343

  Wakabayashi, Tetsushi ^a   Shi, Meng ^a   Ohyama, Wataru ^a   Kimura, Fumitaka ^a  

^a MIE UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); MIRRORS;

ACCURACY IMPROVEMENT; DECISION BOUNDARY; HANDWRITTEN NUMERAL; HANDWRITTEN NUMERAL RECOGNITION; LEARNING PATTERNS; MINIMUM DISTANCE CLASSIFIERS; PROJECTION DISTANCE; RECOGNITION ACCURACY;

LEARNING ALGORITHMS;

EID: 33749821737     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953810     Document Type: Conference Paper

References (12)

1. S. Watanabe and N. Pakvasa. Subspace method of pattern recognition. In Proc. 1st IJCPR, 1973.
2. E. Oja. Subspace Methods of Pattern Recognition. Research Studies Press, England, 1983.
3. M. Ikeda, H.; Tanaka, and T. Motooka. Projection distance method for recognition of hand-written characters (in Japanese). Trans. IPS Japan, 24(1): 106-112, 1983.
4. F. Kimura, S. Inoue, T. Wakabayashi, S. Tsuruoka, and Y. Miyake. Handwritten numeral recognition using autoassociative neural networks. In Proc. of 14th International Conference on Pattern Recognition (ICPR'98), Volume 1, pages 166-171, Brisbane, 1998.
5. E. Oja and M. Kuusela. The alsm algorithm - an improved subspace method of classification. Pattern Recognition, 16(4):421-427, 1983.
6. A. Sato and K. Yamada. Generalized learning vector quantization. In Advances in Neural Information Processing 8, Proc. of the 1995 Conference, pages 423-429, Cambridge, 1996. MIT Press.
7. T. Fukumoto, T. Wakabayashi, F. Kimura, and Y. Miyake. Accuracy improvement of handwritten character recognition by GLVQ. In Proc. of 7th International Workshop on Frontiers in Handwriting recognition (IWFHR-VII), pages 271-280, Amsterdam, 2000.
8. K. V. Mardia. Statistics of Directional Data, page 212. Academic Press, New York, 1972.
9. K. Fukunaga. Introduction to Statistical Pattern Recognition - 2nd Edition. Academic Press, 1990.
10. K. Osuka, T. Tsutsumida, S. Yamaguchi, and K. Nagata. IPTP survey on handwritten numeral recognition. IPTP Research and Survey Report (English translation) R-96-V-02, Institute for Posts and Telecommunications Policy, Japan, June 1996.
11. F. Kimura, T. Wakabayashi, S. Tsuruoka, and Y. Miyake. Improvement of handwritten Japanese character recognition using weighted direction code histogram. Pattern Recognition, 30(8):1329-1337, 1997.
12. T. Wakabayashi, S. Tsuruoka, F. Kimura, and Y. Miyake. Increasing the feature size in handwritten numeral recognition to improve accuracy. Systems and Computers in Japan (English edition), Scripta Technica, 26(8):33-44, 1995.