A Novel Approach of Segmenting Touching and Kerned Characters
Character segmentation is a critical step of OCR system. In this paper we discussed segmentation approaches of touching and kerned characters. A non-linear segmentation path-based algorithm for segmenting touching and kerned characters is put forward. First, touching and kerned characters are extracted and segregated with other characters by using character projections and recognition results . Then in order to find the non-linear segmentation path of touching and kerned characters, a heuristic method seeking minimal-penalty curved cut is used Finally several regions belonging to the same character are merged. Experiment results show that the proposed method achieves high segmentation rate in documents written in both English and Japanese characters.
character segmentation character recognition touching and kerned characters segmentation path
Yangxing LIU Yupin LUO Fei LIU Zhongqi QIU
Department of Automation, Tsinghua University, Beijing 100084, P.R.China Research & Development Center, Brother Industries, LTD, Nagoya 467-8561, Japan
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1641-1644
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）