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

Mr. Gore Prashant Chandrakant; Mr. Patil Rajesh Namdeo

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

Authors: Mr. Gore Prashant Chandrakant , Mr. Patil Rajesh Namdeo

Unique Paper ID: 152157
Volume: 8
Issue: 2
PageNo: 952-955

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.

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ISSN: 2349-6002
Volume: 8
Issue: 2
PageNo: 952-955

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

Available:https://ijirt.org/Article?manuscript=152157

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