Classification of Devanagari Characters Dataset Using Deep Learning Methods

Abstract

Deep Learning is a growing set of approaches for extracting useful information and knowledge from large amounts of data. Deep Learning research and tools have focussed on commercial sector applications. Only a fewer Deep Learning research have focussed on scientific data. This paper highlights the Machine Learning techniques applied to handwriting character recognition using network models built by using Deep Learning Techniques. Handwriting Recognition is now getting attention for researchers to assist technology for visually impaired, blind and human-robots for business documents. We have experimented Devanagari Character database with two different architectures GoogLeNet and AlexNet to evaluate the performance and achieve highest accuracy.