文件名称:RecognitionofOffLineHandwrittenArabicWordsUsingHi
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Hidden Markov Models (HMM) have been used with
some success in recognizing printed Arabic words. In this
paper, a complete scheme for totally unconstrained
Arabic handwritten word recognition based on a Model
discriminant HMM is presented. A complete system able
to classify Arabic-Handwritten words of one hundred
different writers is proposed and discussed. The system
first attempts to remove
some success in recognizing printed Arabic words. In this
paper, a complete scheme for totally unconstrained
Arabic handwritten word recognition based on a Model
discriminant HMM is presented. A complete system able
to classify Arabic-Handwritten words of one hundred
different writers is proposed and discussed. The system
first attempts to remove
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Recognition of Off-Line Handwritten Arabic Words Using Hidden Markov.pdf