Online Recognition of Handwritten Hiragana Characters Based Upon a Complex Autoregressive Model

Authors:
Yuichi Nakatani;Daisuke Sasaki;Youji Iiguni;Hajime Maeda
Affiliations:
NEC Corp., Kawasaki, Japan;Osaka Univ., Suita, Japan;Osaka Univ., Suita, Japan;Osaka Univ., Suita, Japan
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1999

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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.