VESCCOMM-2016

A REVIEW ON HANDWRITTEN DEVNAGARI NUMERALS RECOGNITION USING SUPPORT VECTOR MACHINE (20150030)

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Abstracts : Handwriting has continued to persist as a mean of communication and recording information in day-to-day life even with the invention of new technologies. Natural handwriting is one of the easiest ways of information exchange between a human and a computer. Handwriting recognition has attracted many researchers across the world since many years. Recognition of online handwritten Devanagari numerals is a goal of many research efforts in the pattern recognition field The main goal of the work is the recognition of online hand written Devanagari numerals using support vector machine. In the data collection phase, co-ordinate points of the input handwritten numeral are collected as the numeral written; various algorithms for preprocessing are applied for normalizing, resampling and interpolating missing points, smoothing and slant correction. Two low-level features i.e. direction angle and curvature are extracted from the pre processed data. These features along with the x and y coordinates
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Modified Date : 2016-02-12
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Rupali Vitthalrao Suryawanshi , "A REVIEW ON HANDWRITTEN DEVNAGARI NUMERALS RECOGNITION USING SUPPORT VECTOR MACHINE", JournalNX - A Multidisciplinary Peer Reviewed Journal, VESCCOMM-2016, ISSN : 2581-4230, Page No.
Peer reviewed