Offline character recognition using online character writing information

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.