Hirobumi Yamada and Yasuaki Nakano
IEICE Transaction INF. & SYST., Vol.E79-D, pp. 464-470 (1996)
This paper proposes a method for cursive handwritten word recognition. Cursive word recognition generally consists of segmentation of a cursive word, character recognition and word recognition. Traditional approaches detect one candidate of segmentation point between characters, and cut the touching characters at the point. But, it is difficult to detect a correct segmentation point between characters in cursive word, because form of touching characters varies greatly by cases. In this research, we determine multiple candidates as segmentation points between characters. Character recognition and word recognition decide which candidate is the most plausible touching point. As a result of the experiment, at the character recognition stage, recognition rate was 75.7%, while cumulative recognition rate within best three candidates was 93.7%. In word recognition, recognition rate was 79.8%, while cumulative recognition rate within best five candidates was 91.7% when lexicon size is 50. The processing speed is about 30 sec/word on SPARC station 5.
←[連続筆記体英単語認識]
←[中野の研究]
←[中野の目次]
| mail address: | |
← お手数ですが打ち込んで下さい |
First Written Before February 8, 1999
Transplanted to KSU Before May 15, 2003
Transplanted to So-net May 3, 2005
Last Update April 9, 2007
© Yasuaki Nakano 1999-2007