Automatic Recognition of isolated Marathi Handwritten Numerals
Ms. Pratibha. V. Waje · IOSR Journal of Engineering · 2012
In this paper, we present a method for automatic recognition of Marathi handwritten numerals.The aim of handwritten numeral recognition (HNR) system is to classify input numeral as one of K classes.Handwritten numeral recognisation system have two component feature analysis & pattern classification The feature extraction is by using the chain code and Fourier Descriptor we determine the shape of numerals .After preprocessing the numeral image, the normalized chain code and the Fourier descriptors of the contour of the numeral are extracted.These features are then fed in the Support Vector Machine (SVM) for classification.The proposed method is experimented on a database of 12690 samples of Marathi handwritten numeral using fivefold cross validation technique.We have obtained recognition accuracy of 98.15%.