Segmentation of touching characters in printed document recognition
Shaofeng Liang, Majid A. Ahmadi, M. Shridhard · 2002
A new discrimination function for segmenting touching characters based on both pixel projection and profile projection is presented. A dynamic recursive segmentation algorithm is developed for effectively segmenting touching characters. Contextual information and a spelling checker are used to correct errors caused by incorrect recognition and segmentation. The 99.85% top recognition accuracy has been achieved, while the minimum accuracy is 99.4% based on 12 real documents.>