Heuristic segmentation and feature extraction algorithm for optical character recognition of Arabic script

Fatos T. Yarman-Vural; A. Atici

doi:10.1117/12.233287

27 February 1996 Heuristic algorithm for optical character recognition of Arabic script

Fatos T. Yarman-Vural, A. Atici

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233287
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

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.

Citation Download Citation

Fatos T. Yarman-Vural and A. Atici "Heuristic algorithm for optical character recognition of Arabic script", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233287

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