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On-Line Cursive Kanji Character Recognition Using Stroke-Based Affine Transformation
December 1997 (vol. 19 no. 12)
pp. 1381-1385

Abstract—We present a distortion-tolerant on-line cursive Kanji character recognition method that absorbs the stroke-based handwriting distortion expressible by uniform affine transformation. Experiments are made using two kinds of test data in the square style and in the cursive style for 2,980 Kanji character categories; recognition rates of 98.4 percent and 96.0 percent are obtained.

[1] C.C. Tappert, C.Y. Suen, and T. Wakahara, "The State of the Art in On-Line Handwriting Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 12, no. 8, pp. 787-808, Aug. 1990.
[2] K. Yoshida and H. Sakoe, "Online Handwritten Character Recognition for a Personal Computer System," IEEE Trans. Consumer Electronics, vol. 28, no. 3, pp. 202-208, 1982.
[3] K. Odaka, T. Wakahara, and I. Masuda, "Stroke-Order-Independent On-Line Character Recognition Algorithm and Its Application," Rev. Electrical Comm. Laboratories, vol. 34, no. 1, pp. 79-85, 1986.
[4] M. Yurugi, S. Nagata, K. Onuma, and K. Kubota, "Online Character Recognition by Hierarchical Analysis Method," (in Japanese), Trans. Inst. of Electronics and Comm. Engineers of Japan, vol. J68-D, no. 6, pp. 1,320-1,327, 1985.
[5] Y. Ishii, "Stroke Order Free Online Handwritten Kanji Character Recognition Method by Means of Stroke Representative Points," (in Japanese), Trans. Inst. of Electronics and Comm. Engineers of Japan, vol. J69-D, no. 6, pp. 940-948, 1986.
[6] T. Wakahara, A. Suzuki, N. Nakajima, S. Miyahara, and K. Odaka, "On-Line Cursive Kanji Character Recognition as Stroke Correspondence Problem," Proc. Third Int'l Conf. Document Analysis and Recognition, pp. 1,059-1,064, Aug. 1995.
[7] M. Hamanaka, K. Yamada, and J. Tsukumo, "On-Line Japanese Character Recognition Experiments by an Off-Line Method Based on Normalization-Cooperated Feature Extraction," Proc. Second Int'l Conf. Document Analysis and Recognition, pp. 204-207, Oct. 1993.
[8] L. Bottou, C. Cortes, J.S. Denker, H. Drucker, I. Guyon, L.D. Jackel, Y. LeCun, U.A. Muller, E. Sackinger, P. Simard, and V. Vapnik, "Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition," Proc. 12th Int'l Conf. Pattern Recognition, pp. 77-82, Oct. 1994.
[9] H. Yamada, "Contour DP-Matching Method and Its Application to Handprinted Chinese Character Recognition" (in Japanese), Trans. Inst. of Electronics and Comm. Engineers of Japan, vol. J67-D, no. 3, pp. 351-358, 1984.
[10] J. Tsukumo and H. Tanaka, "Classification of Handprinted Chinese Characters Using Nonlinear Normalization and Correlation Methods," Proc. Ninth Int'l Conf. Pattern Recognition, pp. 168-171, Nov. 1988.
[11] H. Yamada, K. Yamamoto, and T. Saito, "A Nonlinear Normalization Method for Handprinted Kanji Character RecognitionLine Density Equalization," Pattern Recognition, vol. 23, no. 9, pp. 1,023-1,029, 1990.
[12] S.-W. Lee and J.-S. Park, "Nonlinear Shape Normalization Methods for the Recognition of Large-Set Handwritten Characters," Pattern Recognition, vol. 27, no. 7, pp. 895-902, 1994.
[13] R. Plamondon and F.J. Maarse, "An Evaluation of Motor Models of Handwriting," IEEE Trans. Systems, Man, and Cybernetics, vol. 19, no. 5, pp. 1,060-1,072, 1989.
[14] J. Camillerap, G. Lorette, G. Menier, H. Oulhadj, and J.C. Pettier, "Off-Line and On-Line Methods for Cursive Handwriting Recognition," From Pixels to Features: Frontiers in Handwriting Recognition, S. Impedovo and J.-C. Simon, eds., pp. 273-287.Amsterdam: Elsevier, 1992.
[15] H. Nishida, "Automatic Construction of Structural Models Incorporating Discontinuous Transformations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 4, pp. 400-411, Apr. 1996.
[16] T. Wakahara, "On-Line Cursive Script Recognition Using Local Affine Transformation," Proc. Ninth Int'l Conf. Pattern Recognition, pp. 1,133-1,137, Nov. 1988.
[17] T. Wakahara, "Shape Matching Using LAT and Its Application to Handwritten Numeral Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, no. 6, pp. 618-629, June 1994.

Index Terms:
On-line Kanji character recognition, one-to-one stroke correspondence, affine transformation, least-squares criterion, deformation model, distortion-tolerant shape matching.
Citation:
Toru Wakahara, Kazumi Odaka, "On-Line Cursive Kanji Character Recognition Using Stroke-Based Affine Transformation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 12, pp. 1381-1385, Dec. 1997, doi:10.1109/34.643898
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