EFFICIENT FRAMEWORK FOR DEVANAGARI SCRIPT SEPARATION AND RECOGNITION USING MORPHOLOGICAL OPERATIONS AND OPTIMIZED FEATURE EXTRACTION METHODS
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Abstract
For different applications handwritten recognition frameworks increasingly used for automatic document scanning and analysis purpose. Hence from last two decades this becomes challenging area for researchers. Using semiautomated or automated methods the machine printed documents and scanned documents are recognized which is called as handwritten recognition. Number of methods has been proposed so far for different handwritten language such English, Hindi, Devanagari etc. with their advantages and disadvantages.
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How to Cite
SHRIKANT D. MALI. (2017). EFFICIENT FRAMEWORK FOR DEVANAGARI SCRIPT SEPARATION AND RECOGNITION USING MORPHOLOGICAL OPERATIONS AND OPTIMIZED FEATURE EXTRACTION METHODS. JournalNX - A Multidisciplinary Peer Reviewed Journal, 3(04), 215–219. Retrieved from https://repo.journalnx.com/index.php/nx/article/view/2708