Handwritten Marathi Character Recognition using Neural Networks

This book presents a comprehensive research on handwritten Marathi character recognition using Neural networks. It includes extensive study on how to use Neural networks efficiently and achieve high recognition results. Various issues related to Neural networks like selection of the architecture, learning algorithm, number of features, number of hidden neurons etc. are discussed in detail. It includes investigations in pre-processing and features extraction techniques. It explores the combination of Neural networks with other classifiers in various ways to handle a large amount of training data successfully. It presents various classifier combinations, both in horizontal and vertical manner that increases the recognition rate without much computational complexities. This book serves an excellent baseline for those interested in carrying out research in handwritten character recognition. The algorithms discussed here can be applied to recognize characters in other scripts with respective database and structural classification parameters. The structural classification, compound character recognition and similar character recognition are the major contributions of this research.

Autorentext

Sushama Shelke received her BE and ME degrees from Walchand College of Engineering,India in 1999 and 2001 respectively. Currently she has submitted her PhD in the Electronics Department, Walchand College of Engineering under Shivaji University. Presently she is working as an Associate Professor in the Department of E & TC, PICT, Pune.