Recognition of Off-Line Handwritten Devnagari Characters Using 64 dimensional Feature Extraction

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Recognition of Off-Line Handwritten Devnagari Characters Using 64 dimensional Feature Extraction
Author(s):
Mr. Gore Prashant Chandrakant , Mr. Patil Rajesh Namdeo
Keywords:
64 dimensional features, weighted majority voting technique (Multi Layer Perceptron) .
Abstract
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
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