OPTICAL CHARACTER RECOGNITION TECHNIQUES
Abstract
THIS PH.D. THESIS IS CONCERNED WITH THE VARIOUS PROBLEMS WHICH ONE HAS TO COPE WITH, SO THAT OPTICAL CHARACTER RECOGNITION (OCR) CAN BE ACHIEVED. ITS RESEARCH APPROACHES CAN BE SUMMARIZED IN THE FOLLOWING TOPICS: - A NEW METHOD FOR MULTILEVEL THRESHOLD SELECTION OF GRAY LEVEL IMAGES. - AN EFFICIENT PROCEDURE FOR SKEW DETECTION AND TEXT LINE POSITION DETERMINATION IN DIGITIZED DOCUMENTS,WHICH IS BASED ON THE CROSS - CORRELATION BETWEEN THE PIXELS OF VERTICAL LINES IN A DOCUMENT. - A NOVEL FAST METHOD FOR EVALUATING THE HOUGH TRANSFORM BASED ON IMAGE DECOMPOSITION USING RECTANGULAR BLOCKS. THE CONTRIBUTION OF EACH BLOCK TO THE H.T. IS EVALUATED. - BINARY TREE CLASSIFICATION TECHNIQUE WITH SUITABLE BINARY FEATURES. - A NOVEL SEQUENTIAL MULTICLASSIFIER SCHEME THAT USES CURVATURE FEATURES IN CONJUNCTION WITH OTHER OUTSTANDING FEATURES.
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