Improvement in Efficiency of Recognition of Handwritten Gurumukhi Script
Naveen Garg, Sandeep Kaur · 2011
In this paper we discuss Multi-Layer Perceptron (MLP) networks for recognition of handwritten Gurumukhi Characters (HGCR). For training of MLP networks error back propagation algorithm is used. We present an automatic HGCR system using MLP networks. Many techniques have been used to recognize Gurumukhi characters but accuracy of recognition is not so much efficient as efficiency of recognition of other scripts. Multilayer Perceptron neural network is used for recognition of characters of other scripts. We would like to use MLP for HGCR so that recognition can be done accurately and efficiently.