Feature extraction technique for Hindi numerals
H. Y. Y. Sanossian · 2002
In this paper a feature extraction technique is presented and applied to printed Hindi numerals. Fourteen different fonts with different sizes are used for training and testing. The method uses local information to extract the features. Classification is performed using neural networks. To reduce the percentage of the error rate a number of networks is trained and a voting system is used to obtain the final result.