Segmentation of the overlapping Kannada Characters

Abstract

Kannada is a widely spoken language in the southern part of India. Character segmentation of Kannada text is difficult, since adjacent characters in Kannada sometimes overlap in the vertical projection profile. In such cases, the usual method of character segmentation using projection profile is not efficient. In this paper we present a segmentation method in which overlapped characters are separated by connected component analysis.