On recognition of Bengali numerals with backpropagation learning

The authors address various aspects of the problems associated with processing and recognition of printed and handwritten Bengali numerals. A scheme has been proposed for recognizing handwritten as well as printed numerals with different fonts and writing styles. The scheme was successfully used for the recognition of samples of handwritten numerals and the font from printed numerals with a high degree of accuracy. The scheme was also extended for noisy and occluded numerals. The standard multilayer perceptron (MLP) augmented with MAXNET was used as a classifier. The experiments presented have established the superiority of the MLP and MAXNET combined over the standard MLP classifier and the classical nearest neighbor classifier