Volume & Issue no: Volume 6, Issue 1, January 2017
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Title: |
Recognition of Off-Line Handwritten Devanagari Characters Using 64dimensional Feature Extraction
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Author Name: |
Prof. L.M.Deshpande , Ms. Vimal R. Kshirsagar |
Abstract: |
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 Devanagari
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.
Keywords: 64 dimensional features, weighted majority voting technique (Multi Layer Perceptron) |
Cite this article: |
Prof. L.M.Deshpande , Ms. Vimal R. Kshirsagar , "
Recognition of Off-Line Handwritten Devanagari Characters Using 64dimensional Feature Extraction
" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) ,
Volume 6, Issue 1, January 2017 , pp.
087-092 , ISSN 2319 - 4847.
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