A heuristic algorithm for optical character recognition of Arabic script

Date

1996-03-20

Author

Yarman Vural, Fatoş T.
Atici, A. Alper

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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.

Subject Keywords

Segmentation, Main Feature Segments, Key Features, HMM, Optical Character Recognition, Chain Code

URI

https://hdl.handle.net/11511/65147

DOI

https://doi.org/10.1117/12.233287

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

F. T. Yarman Vural and A. A. Atici, “A heuristic algorithm for optical character recognition of Arabic script,” 1996, vol. 2727, p. 725, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65147.