Title :
Segmentation of touching characters in printed document recognition
Author :
Liang, Su ; Ahmadi, M. ; Shridhar, M.
Author_Institution :
EE Dept., Windsor Univ., Ont., Canada
Abstract :
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
Keywords :
document handling; document image processing; image segmentation; optical character recognition; character segmentation; contextual information; discrimination function; dynamic recursive segmentation algorithm; incorrect recognition; pixel projection; printed document recognition; profile projection; recognition accuracy; spelling checker; touching characters; Character recognition; Decision trees; Error correction; Heuristic algorithms; Pattern matching; Prototypes;
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
DOI :
10.1109/ICDAR.1993.395671
