A Review on Character Recognition Techniques
                    
                        
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                    چکیده
منابع مشابه
A Review on Optical Character Recognition Techniques
At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system...
متن کاملA Review on Character Recognition Techniques
Character Recognition (CR) has been studied from the past several decades, and is still a demanding research topic in the field of pattern recognition and image processing. There is a large demand for Optical Character Recognition on hand written documents. Now days, the rapidly growing computational power enables the implementation of the present Character Recognition methodologies and creates...
متن کاملA Brief Review on Optical Character Recognition Techniques
In Image process, segmentation has important phase in OCR and numerous articles are revealed on completely different segmentation strategies like cutting, bar chart etc. for various scripts during previous couple of years. Usually there's not work done on Overlapped and touching scripts. Typically as a result of poor handwriting, the author left some gap between diacritics and character or betw...
متن کاملOptical Character Recognition: A Review
The Optical Character Recognition is the electronic conversion of image of typewritten or printed text into machine-encoded text. It is common method of digitizing printed texts. Advantages being easy storage, edit ability, searching, etc. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. In previous decades it has gain more importance due to feasib...
متن کاملHandwritten Character Recognition: A Review
This paper presents an insight into the state-of-art in handwriting recognition systems and describes the evolution and progress in the field. An in-depth literature survey of Indic script recognition systems for Bangla, Devnagari, Gurumukhi, Kannada, Malayalam, tamil, and Urdu is presented. This study focuses on multitude of feature and classification techniques giving an insight into the effi...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2013
ISSN: 0975-8887
DOI: 10.5120/14460-2737