Segmentation of Cursive Handwritten Words using Hypergraph
P. Samrajya Lakshmi, Madasu Hanmandlu, Abhishek Swaroop · 2006
Segmentation is a crucial step in the cursive script recognition process. A higher recognition rate is achieved if the characters of a word are correctly isolated. In this paper segmentation using hypergraph model is investigated. Hypergraph model treats an image as packets of pixels. By recombining these packets of different sizes a given image can be segmented with the guarantee that at least one of the combinations provides a correct segmentation