Title :
Offline character recognition using online character writing information
Author :
NISHIMURA, Hiromitsu ; TIMIKAWA, Takehiko
Author_Institution :
Dept. of Inf. & Comput. Sci., Kanagawa Inst. of Technol., Japan
Abstract :
Recognition of variously deformed character patterns is a salient subject for offline hand-printed character recognition. Sufficient recognition performance for practical use has not been achieved despite reports of many recognition techniques. Our research examines effective recognition techniques for deformed characters, extending conventional recognition techniques using online character writing information containing writing pressure data. This study extends conventional recognition techniques using online character writing information containing writing pressure information. A recognition system using simple pattern matching and HMM was made for evaluation experiments using common hand-printed English character patterns from the ETL6 database to determine effectiveness of the proposed extending recognition method. Character recognition performance is increased in both expansion recognition methods using online writing information.
Keywords :
document image processing; handwritten character recognition; hidden Markov models; image matching; ETL6 database; HMM; common hand-printed English character pattern; deformed character; hand-printed character recognition; hidden Markov model; image-weighting filter; offline character recognition; online character writing information; pattern matching; writing pressure data; writing pressure information; Character recognition; Computer vision; Data mining; Databases; Hidden Markov models; Layout; Neural networks; Pattern matching; Pattern recognition; Writing;
Conference_Titel :
Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on
Print_ISBN :
0-7695-1960-1
DOI :
10.1109/ICDAR.2003.1227653
