Abstract
Character recognition is a technology that facilitates the conversion of different types of scanned documents into searchable and editable data. Since the decade of years, many researchers work on character recognition. It can be classified into hand-written character recognition and printed character recognition. Hand-written character recognition is considered to be a demanding research area in the field of pattern recognition. In this paper, we present a comprehensive survey on existing techniques for hand-written character recognition of Hindi scripts with the help of various parameters such as techniques utilized for pre-processing, feature extraction, classification, etc. This paper aims to provide an insight to researchers working in the domain of hand-written Hindi character recognition.
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