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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.

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Index Terms:
Complex autoregressive model, PARCOR coefficient, Hiragana character, online character recognition, cross-validation.
Citation:
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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