Holambe A.N.1*, Thool R.C.2*, Shinde U.B.3*, Holambe S.N.4*
1Department of Information Technology, College of Engineering, Osmanabad-413501, MS, India
2Department of Information Technology, Shri Guru Gobind Singhji Institute of Engineering & Technology, Vishnupuri, Nanded-431606, MS, India
3Savitribai Phule Women's Engineering College, Aurangabad, MS, India
4Department of Information Technology, College of Engineering, Osmanabad-413501, MS, India
* Corresponding Author : anholambe@yahoo.com
Received : - Accepted : - Published : 21-12-2010
Volume : 1 Issue : 2 Pages : 6 - 9
Int J Comput Intell Tech 1.2 (2010):6-9
Keywords : Devanagari script, KNN Classifier, accuracy, rejection, error percentage of classification
Conflict of Interest : None declared
In this paper we have done a brief survey of Devanagari script, research and different classifiers approach used for Character Recognition .We have collected and created database of handwritten characters. We have preprocessed it, extracted feature using local intensity distribution of gradient and used in our experiment. We have used KNN Classifier. Experiment result illustrates the accuracy, rejection, error percentage of classification.
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