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Paper Details
Paper Title
Handwritten Devanagari Character Recognition Model Using Neural Network
Authors
  Gaurav Jaiswal
Abstract
In this paper, a recognition model is described for recognizing handwritten Devanagari characters. The scanned image database of handwritten Devanagari character form several different writers was used to train and test to this classifier model. This model first preprocess (normalization, binarization, crop) then extracts the feature set. Based on the extracted feature database it classifies the characters. This model achieves the accuracy rate of recognition which range from 75% to 80%.
Keywords- Devanagari, Neural Network, Handwritten, classifier
Publication Details
Unique Identification Number - IJEDR1401162Page Number(s) - 901-906Pubished in - Volume 2 | Issue 1 | March 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Gaurav Jaiswal,   "Handwritten Devanagari Character Recognition Model Using Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 1, pp.901-906, March 2014, Available at :http://www.ijedr.org/papers/IJEDR1401162.pdf
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