ABSTRACT

In the area of Malayalam character classification, previous works have mainly focused on traditional feature extraction methods, which take the most time since it contains the larger number of character classes. Different proposed methods having high recognition rates were reported for the handwritten recognition of Chinese, Japanese, Tamil, Bangla, Devanagari and Telugu using CNN.