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Proceedings Paper

Heuristic segmentation and feature extraction algorithm for optical character recognition of Arabic script
Author(s): Fatos T. Yarman-Vural; A. Atici
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Paper Abstract

In this paper, a heuristic method is developed for segmentation, feature extraction and recognition of the Arabic script. The study is part of a large project for the transcription of the documents in Ottoman Archives. A geometrical and topological feature analysis method is developed for segmentation and feature extraction stages. Chain code transformation is applied to main strokes of the characters which are then classified by the hidden Markov model (HMM) in the recognition stage. Experimental results indicate that the performance of the proposed method is impressive, provided that the thinning process does not yield spurious branches.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233287
Show Author Affiliations
Fatos T. Yarman-Vural, Middle East Technical Univ. (Turkey)
A. Atici, Middle East Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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