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Design and implementation of an Arabic optical character recognition system

By Anthony Hing-lam Cheung
Topics: Arabic alphabet Data processing, Optical character recognition devices, implementation, arabic script, cursive, optical character recognition system, image acquisition, scanner, digitalization, quantization, preprocessing, thresholding, global thresholding, adaptive thresholding, binarization, noise reduction, thinning, parallel thinning, sequential thinning, edge detection, pixel depth map, segmentation, skew estimation, page layout analysis, structural layout analysis, top-down analysis, bottom-up analysis, projection profile, functional labeling, Arabic word segmentation, character segmentation, recognition-based segmentation, feature extraction, moment invariant, classification, statistical classification, structural classification, neural network, neocognition, feedback, thesis, masters
Publisher: Queensland University of Technology
Year: 1998
OAI identifier: oai:eprints.qut.edu.au:36073
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