Abstract
Machine Learning, especially Deep Learning has been incorporated into Pattern Recognition and Image Processing for the Handwritten Character Recognition (HCR) research which is always a hot area of research. Foreign scripts are enriched with Handwritten Character Recognition (HCR) studies. But very less research can be seen for HCR in Indian scenario, especially in Malayalam script. This paper provides an overview of different feature extraction and classification techniques used for Handwritten Character Recognition of Malayalam Scripts using Deep Learning Approaches. The accuracy measures of classification of the different algorithms have been given so that the researchers can select a particular algorithm with high performance.
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