MOMENT AND DENSITY BASED HADWRITTEN MARATHI NUMERAL RECOGNITION
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 5
Abstract
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 globally for 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.
Authors and Affiliations
S. M. Mali
Keywords
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