Handwriting Recognition using LSTM Networks

Sarita Yadav, Ankur Pandey, Pulkit Aggarwal, Rachit Garg, Vishal Aggarwal

Recognizing digits in an optimal way is a challenging problem. Recent deep learning based approaches have achieved great success on handwriting recognition. English characters are among the most widely adopted writing systems in the world. This paper presents a comparative evaluation of the standard LSTM RNN model with other deep models on MNIST dataset.