期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：5
出版社：IJCSI Press
摘要：In this paper, we present PerTOHS theory for on-line handwriting segmentation, based on the fact that in order to identify patterns, our human perceptual system is based on basic features called perceptual codes. Analysing handwriting, we notice the existence of elementary and global ones. Perceptual organization of elementary perceptual codes in various constraints generates global ones, and to obtain different forms of handwriting, we proceed by combining them. We develop a new approach to improve handwriting segmentation via perceptual codes. The proposed architecture uses the Beta-elliptic model for the generation of on-line handwriting scripts, the fuzzy set theory to detect the elementary perceptual codes and the genetic algorithms for the global perceptual ones. This theory has been tested on the developed MAYASTROUN database, and IRONOFF database. The achieved results show successful representations of handwritten script via perceptual codes and good segmentation rate is obtained.
