Printed Arabic Words Recognition Using Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Recognition of printed Arabic words with fuzzy ARTMAP neural network
This paper presents a new method for the recognition of Arabic text using global fmtures and Fuzzy ARTMAP neural network The method is divided into three major steps. The first step is digitization and pre-processing to create connected component. The secondstep is concerned with fmture extraction, where global f w r e s of the input word are used to extract features such as number of suhvorch,...
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........................................................................................................................ i Acknowledgements ...................................................................................................... ii Table of
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Hidden Markov Models (HMMs) are now widely used for off-line text recognition in many languages and, in particular, Arabic. In previous work, we proposed to directly use columns of raw, binary image pixels, which are directly fed into embedded Bernoulli (mixture) HMMs, that is, embedded HMMs in which the emission probabilities are modeled with Bernoulli mixtures. The idea was to by-pass feature...
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Electronic Document Management (EDM) technology is being widely adopted as it makes for the efficient routing and retrieval of documents. Optical Character Recognition (OCR) is an important front end for such technology. Excellent OCR now exists for Latin based languages, but there are few systems that read Arabic, which limits the penetration of EDM into Arabicspeaking countries. In developing...
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ژورنال
عنوان ژورنال: ALUSTATH JOURNAL FOR HUMAN AND SOCIAL SCIENCES
سال: 2016
ISSN: 2518-9263,0552-265X
DOI: 10.36473/ujhss.v217i2.563