Abstract
We developed a learning pseudo Bayes discriminant method, that dynamically adapts a pseudo Bayes discriminant function to a font and image degradation condition present in a text. In this method, the characteristics of character pattern deformations are expressed as a statistic of a difference distribution, and information represented by the difference distribution is integrated into the pseudo Bayes discriminant function. The formulation of integrating the difference distribution into the pseudo Bayes discriminant function results in that a covariance matrix of each category is adjusted based on the difference distribution. We evaluated the proposed method on multi-font texts and degraded texts such as compressed color images and faxed copies. We found that the recognition accuracy of our method for the evaluated texts was much higher than that of conventional methods.
Chapter PDF
References
R.O. Duda and P.E. Hart, “Pattern Classification and Scene Analysis”, pp.118–121, John Wiley & Sons, Inc., New York, 1973.
G. Nagy and Y. Xu, “Automatic Prototype Extraction for Adaptive OCR”, Proceedings of Fourth International Conference on Document Analysis and Recognition, Ulm, Germany, August, pp.18–20 1997, 278-282.
T.K. Ho, “Bootstrapping Text Recognition from Stop Words”, Proceedings of Fourteenth International Conference on Pattern Recognition, Brisbane, Australia, August, pp.17–20, 1998, 605-609.
S. Omachi and H. Aso, “A Qualitative Adaptation of Subspace Method for Character Recognition”, Trans. of IEICE(D-II), vol. J82-D-II, No.11, pp.1930–1939, Nov., 1999.
S. Omachi, F. Sun, and H. Aso, “A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine Printed Kanji Recognition”, PAMI-22, 3, pp314–319, March 2000.
J.H. Friedman, “Regularized Discriminant Analysis”, Journal of American Statistical Association, 84, No.405, pp.165–175, 1989.
S. Tsuruoka, M. Kurita, T. Harada, F. Kimura, and K. Miyake, “Handwritten “KANJI”and “HIRAGANA” Character Recognition Using Weighted Direction Index Histogram Method”, Trans. of IEICE (D), vol.J70-D, No.7 pp.1390–1397 July, 1987.
F. Kimura, K. Takashina, S. Tsuruoka, and Y. Miyake, “Modified quadratic discriminant functions and the application to Chinese character recognition”, IEEE Trans. PAMI, vol.9, no.1, pp.149–153, 1987.
K. Fujimoto and H. Kamada, “Fast and Precise Character Recognition by Estimating Recognition Probability”, Proceeding of the 1996 Information and Systems Society Conference of IEICE, D-361, Sep. 1996.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Takebe, H., Kurokawa, K., Katsuyama, Y., Naoi, S. (2002). A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors. In: Lopresti, D., Hu, J., Kashi, R. (eds) Document Analysis Systems V. DAS 2002. Lecture Notes in Computer Science, vol 2423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45869-7_18
Download citation
DOI: https://doi.org/10.1007/3-540-45869-7_18
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44068-0
Online ISBN: 978-3-540-45869-2
eBook Packages: Springer Book Archive