Unconstrained Farsi handwritten word recognition using fuzzy vector quantization and hidden Markov models
نویسندگان
چکیده
منابع مشابه
Unconstrained Farsi handwritten word recognition using fuzzy vector quantization and hidden Markov models
An unconstrained Farsi handwritten word recognition system based on fuzzy vector quantization (FVQ) and hidden Markov model (HMM) for reading city names in postal addresses is presented. Preprocessing techniques including binarization, noise removal, slope correction and baseline estimation are described. Each word image is represented by its contour information. The histogram of chain code slo...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2001
ISSN: 0167-8655
DOI: 10.1016/s0167-8655(00)00090-8