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Erschienen in:
2013 | OriginalPaper | Buchkapitel
An Arabic Optical Character Recognition System Using Restricted Boltzmann Machines
verfasst von : Abdullah M. Rashwan, Mohamed S. Kamel, Fakhri Karray
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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Most of the state-of-the-art Arabic Optical Character Recognition systems use Hidden Markov Models to model Arabic characters. Much of the attention is paid to provide the HMM system with new features, pre-processing, or post-processing modules to improve the performances. In this paper, we present an Arabic OCR system using Restricted Boltzmann Machines (RBMs) to model Arabic characters. The recently announced ALTEC dataset for typewritten OCR system is used to train and test the system. The results show a 26% increase in the average word accuracy rate and 8% increase in the average character accuracy rate compared to the HMM system.