Online Handwritten Bangla and Devanagari Character Recognition by using CNN: A Deep Learning Concept

The present experiment deals with online handwriting recognition for two regional languages Bangla and Devanagari using CNN (convolution neural network) a deep learning concept. Our proposed model consists of two convolution and pooling layers and a fully connected network. CNN model give relaxation of producing handcrafted features manually rather generates features, reduce feature dimension automatically and pass the features to a fully connected network for classification purpose. The current experiment is performed on 10000 Bangla basic characters and 1800 Devanagari characters. We have achieved 99.65% and 98.87% recognition accuracy for Bangla and Devanagari character datasets respectively.