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@article{152157,
        author = {Mr. Gore Prashant Chandrakant  and Mr. Patil Rajesh Namdeo},
        title = {Recognition of Off-Line Handwritten Devnagari Characters Using 64 dimensional Feature Extraction},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {952-955},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152157},
        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.},
        keywords = {64 dimensional features, weighted majority voting technique (Multi Layer Perceptron) .},
        month = {},
        }