A new pattern matching approach to the recognition of printed Arabic

Authors:
Ali M. Obaid
Affiliations:
Technical University of Budapest, Budapest
Venue:
Semitic '98 Proceedings of the Workshop on Computational Approaches to Semitic Languages
Year:
1998

Citing 4
Cited 1

Thinning Methodologies-A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
N-Tuple Features for OCR Revisited

IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation-free word recognition with application to Arabic

ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Experiments with the n-tuple Method of Pattern Recognition

IEEE Transactions on Computers

Segmentation of Arabic Characters: A Comprehensive Survey

International Journal of Technology Diffusion

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper presents a new segmentation-free approach to the Arabic optical character recognition. Extended with a suitable pre-and post-processing the method offers a simple and fast framework to develop a full OCR system. The method was developed primarily for the Naskhi font, it is however robust and flexible and can be easily extended.