Title : 
Predictive DP Matching for On-Line Character Recognition
         
        
            Author : 
Baba, Daiki ; Uchida, Seiichi ; Sakoe, Hiroaki
         
        
            Author_Institution : 
Kyushu Univ., Fukuoka
         
        
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
         
        
            Conference_Location : 
Parana
         
        
        
            Print_ISBN : 
978-0-7695-2822-9
         
        
        
            DOI : 
10.1109/ICDAR.2007.4377000