Recognition of Handwritten Marathi Vowels using Zone based Symmetric Density Features
C. H. Patil · International Journal of Computer Applications · 2014
In this paper, a zone based symmetric density feature is proposed to recognize Handwritten Marathi Vowels.Recognition of handwritten Marathi vowels is a challenging task due to their interclass structural similarities.This paper describes a method for recognition of handwritten Marathi vowels.Since a standard database does not exist for handwritten Marathi vowels, as a part of this work database of 2294 handwritten Marathi vowels was created.Pre-processing techniques are applied to remove noise and there zone based symmetric density features are extracted.According to the fivefold cross validation technique a maximum of 92.91% recognition rate was achieved.The recognition rates were compared with those achieved by KNN and SVM classifiers.