Title :
A new methodology of online handwritten English character segmentation based on rules
Author :
Zhang, Liangwen ; Bai, Gang ; Xuan, Chenggen
Author_Institution :
Coll. of Inf. Tech. Sci., Nankai Univ., Tianjin, China
Abstract :
This paper proposes an online handwritten English characters segmentation method based on rules. Firstly, all the local minima of the character coordinate sequences are treated as potential segmentation points; Secondly, we calculate 5 features of every potential segmentation point; Finally, the potential segmentation points are modified according to the rules to get the final segmentation points. The modification contains shift, deletion and maintenance. Thus, the coordinate sequences of characters are segmented to sub-sequences of characters by the final segmentation points. The experiment conducted on UNIPEN database shows that our method is feasible and effective.
Keywords :
handwritten character recognition; image segmentation; image sequences; natural language processing; UNIPEN database; character coordinate sequences; online handwritten English character segmentation method; potential segmentation points; Character recognition; Handwriting recognition; English character segmentation; handwritten; online; recognition; rules; stroke;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658513