This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Duda, T.O. and Hart, P.E. (1973). Pattern Classification and Scene Analysis. New York: John Wiley & Sons, Inc.
Kimura, F., Shridhar, M., and Chen, Z. (1993). Improvements of a lexi-con directed algorithm for recognition of unconstrained handwritten words. Proceedings of 2nd ICDAR, pp. 18-22.
Fukunaga, K. (1990). Introduction to Statistical Pattern Recognition, 2nd ed. New York: Academic Press.
Ikeda, M., Tanaka, H., and Moto-oka, T. (1983). Projection distance method for recognition of hand-written characters. Transactions of IPS Japan, 24(1), pp. 106-112.
Ishitani, Y. (1993). Document skew detection based on local region complexity. Proceedings of 2nd ICDAR, pp. 49-52.
Kimura, F., Miyake, Y., and Shridhar, M. (1995). ZIP code recognition using lexicon free word recognition algorithm. Proceedings of 3rd ICDAR, pp. 906-910.
Kimura, F., Takashina, K., Tsuruoka, S. and Miyake, Y. (1987). Modified quadratic discriminant functions and the application to Chinese character recognition. IEEE Transactions on Pattern Analysis and Machine Intelli-gence, 9(1), pp. 149-153.
Kimura, F., Wakabayashi, T., and Miyake, Y. (1996). On feature extraction for limited class problem. Proceedings of 13th ICPR, pp. 191-194.
Kimura, F., Wakabayashi, T., Tsuruoka, S., and Miyake, Y. (1997). Improvement of handwritten Japanese character recognition using weighted direction code histogram. Pattern Recognition, 30(8), pp. 1329-1337.
Kohonen, T. (1989). Self-Organization and Associative Memory, 3rd ed. Berlin: Springer-Verlag.
Oja, E. (1983). Subspace Methods of Pattern Recognition. England: Research Studies Press.
Saito, T., Yamada, H., and Yamamoto, K. (1985). An analysis of handprinted character database VIII: an estimation of the database ETL9 of hand-printed characters in JIS Chinese characters by directional pattern match-ing approach (in Japanese). Bulletin of Electrotechnical Laboratory Japan, 49 (7), pp. 487-525.
Sato, A. and Yamada K. (1996). Generalized learning vector quantization. Advances in Neural Information Processing. Cambridge, MA: MIT Press, Volume 8, pp. 423-429.
Tsukumo, J. and Tanaka, H. (1988). Classification of handprinted Chinese characters using non-linear normalization and correlation methods. Proceed-ings of 9th ICPR, pp. 168-171.
Wakabayashi, T., Shi, M., Ohyama, W., and Kimura, F. (2001). Accuracy improvement of handwritten numeral recognition by Mirror Image Learning. Proceedings of ICDAR’01, pp. 338-343.
Wakabayashi, T., Tsuruoka, S., Kimura, F., and Miyake, Y. (1995). Increas-ing the feature size in handwritten numeral recognition to improve accuracy. Systems and Computers in Japan, 26(8), pp. 35-44 (English Edition). Scripta Technica, Inc.
Watanabe, S. and Pakvasa, N. (1973). Subspace method of pattern recog-nition. Proc. of 1st International Joint Conference on Pattern Recognition. Washington, DC, Oct-Nov. pp. 2-32.
Yamada, H., Yamamoto, K., and Saito, T. (1990). A nonlinear normalization method for handprinted Kanji character recognition - line density equaliza-tion. Pattern Recognition, 23(9), pp. 1023-1029.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag London Limited
About this chapter
Cite this chapter
Kimura, F. (2007). OCR Technologies for Machine Printed and Hand Printed Japanese Text. In: Chaudhuri, B.B. (eds) Digital Document Processing. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84628-726-8_3
Download citation
DOI: https://doi.org/10.1007/978-1-84628-726-8_3
Publisher Name: Springer, London
Print ISBN: 978-1-84628-501-1
Online ISBN: 978-1-84628-726-8
eBook Packages: Computer ScienceComputer Science (R0)