Machine recognition of printed Arabic text utilizing natural language morphology
International Journal of Man-Machine Studies
Survey and bibliography of Arabic optical text recognition
Signal Processing
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Thinning Arabic Characters for Feature Extraction
IV '01 Proceedings of the Fifth International Conference on Information Visualisation
Computer-Aided Intelligent Recognition Techniques and Applications
Computer-Aided Intelligent Recognition Techniques and Applications
Adaptive Dissection Based Subword Segmentation of Printed Arabic Text
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
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Commercial OCR systems for high quality Latin characters are widely available. However, the recognition of Arabic characters, particularly those of poor quality, is still an important research area. This paper gives details of two recognition systems for isolated Arabic characters based on the extraction of critical features. The limitations of this approach and its successful extension to a syntactic recognition system are discussed. The syntactic system uses a new web grammar, in which the critical features are nodes and a set of operators describes the spatial relationships between them. The approach used is insensitive to variations in the size and orientation of the characters and even the relative lengths of strokes. The described system has been implemented and the theoretical behaviour of this approach is supported by the experimental results.