Recognition of Off-Line Handwritten Devnagari Characters Using 64 dimensional Feature Extraction
Mr. Gore Prashant Chandrakant , Mr. Patil Rajesh Namdeo
64 dimensional features, weighted majority voting technique (Multi Layer Perceptron) .
Recognition of handwritten characters is a challenging task because of the variability involved in the writing styles of different individuals. In this paper we are concern with features from 64 dimensional feature extraction techniques for the devnagari character. These features are used for further classification. Histograms of direction chain code of the contour points of the characters are used as feature for recognition [4].From this we get 196 features for future classification. We suppose to be used Multi Layer Perceptron (MLP) based Classifier.
Article Details
Unique Paper ID: 152157

Publication Volume & Issue: Volume 8, Issue 2

Page(s): 952 - 955
Article Preview & Download

Share This Article

Conference Alert


International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Latest Publication

Go To Issue

Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews

Contact Details