Virtual example synthesis based on PCA for off-line handwritten character recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3872 LNCS, Issue , 2006, Pages 96-105

  Miyao, Hidetoshi ^a   Maruyama, Minoru ^a  

^a SHINSHU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; DATABASE SYSTEMS; LEARNING SYSTEMS; PATTERN RECOGNITION SYSTEMS; VIRTUAL REALITY;

CHARACTER DATABASE; HANDWRITTEN CHARACTER RECOGNITION; HANDWRITTEN CHARACTERS; RECOGNITION RATES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 33745520455     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11669487_9     Document Type: Conference Paper

References (13)

1. D.Ghosh and A.P.Shibaprasad, "An analytic approach for generation of artificial hand-printed character database from given generative models", Pattern Recognition, Vol.32, pp. 907-920 (1999).
2. T.M.Ha and H.Bunke, "Off-line, handwritten numeral recognition by perturbation method", IEEE Trans. PAMI, Vol. 19, No. 5, pp. 535-539 (1997).
3. T.Joachims, "Making large-scale SVM learning practical", In Advances in kernel methods, Chapter 11, MIT Press (1999).
4. K.Maruyama, M.Maruyama, H.Miyao and Y.Nakano, "A method to make multiple hypotheses with high cumulative recognition rate using SVMs", Pattern Recognition, Vol. 37,No. 2, pp. 241-251 (2004).
5. E.Miller, N.Matsakis and P.Viola, "Learning from one example through shared densities on transformation", Proc. CVPR2000, Vol.1, pp.464-471 (2000).
6. S. Mori, C. Y. Suen and K. Yamamoto, "Historical review of OCR research and development", Proc. IEEE, Vol.80, No.7, pp. 1029-1058 (1992).
7. P.Niyogi, F.Girosi, and T.Poggio, "Incorporating prior knowledge in machine learning by creating virtual examples", Proc. IEEE, Vol.86, No.11, pp.2196-2207 (1998).
8. V.Vapnik, "Statistical Learning Theory", Wiley, New York (1998).
9. O.Velek, C.-L. Lieu, S.Jaeger and M.Nakagawa, "An improved approach to generating realistic Kanji character images from on-line characters and its benefit to off-line recognition performance" Proc. ICPR 2002, Vol.1, pp. 588-591 (2002).
10. O.Velek, S.Jaeger and M.Nakagawa, "A new warping technique for normalizing likelihood of multiple classifiers and its effectiveness in combined on-line/off-line Japanese character recognition", Proc. IWFHR 2002, pp. 177-182 (2002).
11. R. Schölkopf and A.J.Smola, "Learning with Kernels", The MIT Press (2002).
12. http://www.tuat.ac.jp/'nakagawa/ipdb/
13. H.Miyao, M.Maruyama, Y.Nakano and T. Hananoi, "Off-Line Handwritten Character Recognition by SVM based on the Virtual Examples Synthesized from On-Line Characters" Proc. ICDAR 2005, Vol.1, pp. 494-498 (2005).