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Published in:
2011 | OriginalPaper | Chapter
A Novel Method to Segment Online Gurmukhi Script
Authors : Manoj K. Sachan, Gurpreet Singh Lehal, Vijender Kumar Jain
Published in: Information Systems for Indian Languages
Publisher: Springer Berlin Heidelberg
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Segmentation of handwritten script in general and Gurmukhi Script in particular is a critical task due to the type of shapes of character and large variation in writing style of different users. The data captured for online Gurmukhi Script consists of x,y coordinates of pen position on the tablet, pressure of the pen on the tablet, time of each point and pen down status of the pen. A novel method to segment the Gurmukhi script based on pressure, pen down status and time together is presented in the paper. In case of some characters getting over segmented due to the shape of character and user’s style of writing, a method to merge the substrokes is presented. The proposed algorithms have been applied on a set of 2150 words and have given very good results.