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Online Recognition of Handwritten Hiragana Characters Based Upon a Complex Autoregressive Model
January 1999 (vol. 21 no. 1)
pp. 73-76

Abstract—An online recognition method for handwritten Hiragana characters is developed based upon a complex AR model. The time delay of the AR model is enlarged so that global attributes of handwritten characters are well incorporated into the model, and a character-segmentation technique is developed for performance improvement. A good recognition score has been obtained for two different writers.

[1] C.Y. Suen and M. Berthod, and S. Mori, "Automatic Recognition of Handwritten Characters: The State of the Art," Proc. IEEE, vol. 68, no. 4, pp. 469-487, 1980.
[2] J. Mantas, "Methodologies in Pattern Recognition and Image Analysis: A Brief Survey," Pattern Recognition, vol. 20, pp. 1-6, 1987.
[3] 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. 179-190, Aug. 1990.
[4] T. Wakahara, H. Murase, and K. Odaka, “On-Line Handwriting Recognition,” Proc. IEEE, vol. 80, no. 7, pp. 1,181-1,194, 1992.
[5] R.L. Kashyap and R. Chellappa,“Stochastic models for closed boundary analysis: Representation and reconstruction,” IEEE Trans. Information Theory, vol. 27, pp. 627-637, 1981.
[6] S.R. Dubois and F.H. Glanz,“An autoregressive model approach to two-dimensional shape classification,” IEEE Trans. Pattern Anal. Machine Intell., vol. 8, pp. 55-66, 1986.
[7] M. Das,M.J. Paulik,, and N.K. Loh,“A bivariate autoregressive modeling technique for analysis and classification of planar shapes,” IEEE Trans. Pattern Anal. Machine Intell., vol. 12, no. 1, pp. 97-103, 1990.
[8] I. Sekita,T. Kurita,, and N. Otsu,“Complex autoregressive model for shape recognition,” IEEE Trans. Pattern Anal. Machine Intell., vol. 14, pp. 489-496, 1992.
[9] S. Haykin, Nonlinear Methods of Spectral Analysis.Berlin: Springer-Verlag; 1979.
[10] B. Friedlander, "Lattice Filters for Adaptive Processing," Proc. IEEE, vol. 70, no. 8, pp. 829-867, 1982.
[11] 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.
[12] B.S. Everitt and D.J. Hand, Finite Mixture Distributions. Chapman and Hall, 1981.
[13] T. Kurita, I. Sekoita, and N. Otsu, "Invariant Distance Measures for Planner Shapes Based on Complex Autoregressive Model," Pattern Recognition, vol. 27, no. 7, pp. 903-911, 1994.

Index Terms:
Complex autoregressive model, PARCOR coefficient, Hiragana character, online character recognition, cross-validation.
Yuichi Nakatani, Daisuke Sasaki, Youji Iiguni, Hajime Maeda, "Online Recognition of Handwritten Hiragana Characters Based Upon a Complex Autoregressive Model," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 1, pp. 73-76, Jan. 1999, doi:10.1109/34.745737
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