Handwritten Devanagari Character Recognition Model Using Neural Network

• Gaurav Jaiswal

Devanagari, Neural Network, Handwritten, classifier

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%.

Published

 Vol. 2 Issue. 1 Pages. 901-906

Gaurav Jaiswal. "Handwritten Devanagari Character Recognition Model Using Neural Network".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 1, pp.901-906, URL :https://rjwave.org/ijedr/papers/IJEDR1401162.pdf

Volume 2 Issue 1 

Pages. 901-906

Published Paper PDF : https://rjwave.org/ijedr/papers/IJEDR1401162.pdf

Published Paper URL : https://openrgate.org/viewfulldetails.php?id=493

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition