Segmentation techniques for online Arabic handwriting Recognition: A survey

Abstract

This paper presents and compares techniques that have been used to segment Arabic handwriting scripts in online recognition systems. Those techniques attempt to segment cursive Arabic words into characters, or segment characters into small strokes that can be recognized via the recognition system. The structure and strategy of those reviewed techniques are… (More)

Topics

1 Figure or Table

Statistics

01020201520162017
Citations per Year

Citation Velocity: 8

Averaging 8 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@article{Abuzaraida2010SegmentationTF, title={Segmentation techniques for online Arabic handwriting Recognition: A survey}, author={Mustafa Ali Abuzaraida and Ahmed M. Zeki and Akram M. Zeki}, journal={Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World (ICT4M) 2010}, year={2010}, pages={D37-D40} }