Segmentation of Isolated and Touching Characters in Handwritten Gurumukhi Word Using Clustering Approach

Segmentation is one of the important steps of character recognition system. It is an important step because inaccurate segmentation of characters will cause errors in the recognition stage. In optical character Recognition (OCR) system the presence of touching characters decreases the accuracy rate of character recognition. Touching of half character or full character with other full character makes the character segmentation very challenging or difficult task. In this paper, the method of segmentation for touching characters of handwritten Punjabi text that is the Gurumukhi script has been proposed. The main purpose of this paper is to provide the new segmentation technique based on clustering technique for touching characters.