Segmentation of Marathi Handwritten Characters and Numerals

Abstract

Segmentation is one the most important process which decides the success of character recognition technique. Segmentation is used to decompose an image of a sequence of characters into sub images of individual symbols by segmenting lines and words. In segmentation image is partitioned into multiple parts. With respect to the segmentation of handwritten words into characters it is a critical task because of complexity of structural features and varieties in writing styles. Due to this without segmentation these touching characters, it is difficult to recognize the individual characters, hence arises the need for segmentation of touching characters in a word. Here we consider Marathi words and Marathi Numerals for segmentation. The algorithm is use for Segmentation of lines and then characters. The segmented characters are then stores in result variable. First it Separate the lines and then it Separate the characters from the input image. This procedure is repeated till end of file.