DocumentCode :
2013513
Title :
Predictive DP Matching for On-Line Character Recognition
Author :
Baba, Daiki ; Uchida, Seiichi ; Sakoe, Hiroaki
Author_Institution :
Kyushu Univ., Fukuoka
Volume :
2
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
674
Lastpage :
678
Abstract :
For on-line character recognition, predictive DP matching is proposed where two physically different features, coordinate 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 coordinate features by a feature prediction technique. An experimental 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 optimization of the weight to balance the two features.
Keywords :
dynamic programming; feature extraction; handwritten character recognition; pattern matching; online character recognition; optimization; predictive dynamic programming matching; Character recognition; Dynamic programming; Grounding; Pattern matching; Probability density function; Robustness; Shape; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4377000
Filename :
4377000
Link To Document :
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