%0 Journal Article
%T MOMENT AND DENSITY BASED HADWRITTEN MARATHI NUMERAL RECOGNITION
%A S. M. Mali
%J Indian Journal of Computer Science and Engineering
%D 2012
%I Engg Journals Publications
%X In this paper, we present an OCR for handwritten Marathi Numerals recognition using two sets of features, namely, density and central moments. Central moments of order 3 and 4 are computed globallyfor the numeral image while density features are computed by dividing the numeral image into different zones. The combined features are fed to the classifiers namely, minimum distance, k-nearest neighbor (k-NN) and Support Vector Machines (SVM) to classify the unknown numeral patterns. The proposed method provided encouraging results.
%K Handwritten numerals
%K moment
%K density
%K NN
%K K-NN
%K SVM classifier.
%U http://www.ijcse.com/docs/INDJCSE12-03-05-106.pdf