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    <pubDate>Mon, 12 Oct 2026 10:48:13 GMT</pubDate>
    <dc:date>2026-10-12T10:48:13Z</dc:date>
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      <title>Handwritten Devnagri Character Recognition</title>
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      <description>Title: Handwritten Devnagri Character Recognition
Authors: Shelke, S. V.; Chandwadkar, D. M.
Abstract: Recognition of handwritten characters has been a popular research area for many years. Devnagari script is a major script of India&#xD;
and is widely used for various languages. In this paper we propose a system to recognize devnagri handwritten characters. Total&#xD;
60 devnagri characters (50 letters and 10 digits) are taken in to consideration. 60 samples of each character i.e. total 3600 samples&#xD;
are used for features extraction. Classification is done by four different classifiers which are Multilayer perceptron, K-Nearest&#xD;
Neighbour, Naive Bayes classifier and Classification tree. Performance of different classifiers is compared.98.9 % accuracy is&#xD;
obtained by Multilayer perceptron</description>
      <pubDate>Fri, 01 Apr 2016 00:00:00 GMT</pubDate>
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      <dc:date>2016-04-01T00:00:00Z</dc:date>
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