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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2
Predictive DP Matching for On-Line Character Recognition
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
D. Baba, Kyushu University, Fukuoka-shi, 819-0395 Japan
S. Uchida, Kyushu University, Fukuoka-shi, 819-0395 Japan
H. Sakoe, Kyushu University, Fukuoka-shi, 819-0395 Japan
For on-line character recognition, predictive DP match- ing is proposed where two physically different features, co- ordinate features and directional features, are handled in a unified manner. For this unification, the distance of the directional features is converted into a distance of the co- ordinate features by a feature prediction technique. An ex- perimental result showed that the predictive DP matching could attain a recognition rate comparable to the rate by the conventional DP matching which requires the costly op- timization of the weight to balance the two features.
Citation:
D. Baba, S. Uchida, H. Sakoe, "Predictive DP Matching for On-Line Character Recognition," icdar, vol. 2, pp.674-678, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
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