Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb].

Abdullah, Shubair A. (2007) Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (STSF) [PJ6123. S562 2007 f rb]. Masters thesis, Universiti Sains Malaysia.

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Abstract

Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan kesalingtindakan antara manusia dengan komputer. The main theme of this research is the off-line handwritten Arabic characters segmentation. A successful handwritten Arabic character recognition system improves interactivity between the human and the computers.

Item Type: Thesis (Masters)
Subjects: P Language and Literature > PJ Semitic > PJ7501-8517 Arabic literature
Divisions: Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis
Depositing User: Mr Erwan Roslan
Date Deposited: 16 Apr 2009 03:26
Last Modified: 14 Apr 2017 12:18
URI: http://eprints.usm.my/id/eprint/9181

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