doi: 10.7763/IJCTE.2009.V1.21
Recognizing Online Handwritten Gurmukhi Characters Using Comparison of Small Line Segments
- 1Center for Advanced Study in Mathematics, Panjab University, Chandigarh (INDIA).
- 2School of Mathematics and Computer Applications, Thapar University, Patiala (INDIA).
Abstract
This paper presents a method to recognize online handwritten Gurmukhi characters. Gurmukhi is the script of Punjabi language which is widely spoken across the globe. The proposed method is called small line segments and based on idea of chain code and elastic matching techniques. Using this method, we have obtained an overall recognition rate of 94.59%for a set of 2460 Gurmukhi characters collected from 60 writers. In recognizing a single stroke, the average speed using this method is approximately 0.156 seconds.
Keywords
- Online handwriting recognition
- preprocessing
- Feature extraction
- chain code
- elastic matching
How to Cite
Anuj Sharma, R. Kumar, and R. K. Sharma, "Recognizing Online Handwritten Gurmukhi Characters Using Comparison of Small Line Segments," International Journal of Computer Theory and Engineering, vol. 1, no. 2, pp. 131-135, 2009. https://doi.org/10.7763/IJCTE.2009.V1.21
Copyright & License
Copyright © 2009 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).