R. K. Sharma

Work place: School of Mathematics & Computer Applications, Thapar University, Patiala, Punjab, India

E-mail: rksharma@thapar.edu

Website:

Research Interests: Computer systems and computational processes, Neural Networks, Pattern Recognition, Computer Architecture and Organization, Computer Networks, Data Structures and Algorithms

Biography

Professor Rajendra Kumar Sharma received his PhD degree in mathematics from the University of Roorkee (Now, IIT Roorkee), India in 1993. He is currently working as Professor at Thapar University, Patiala INDIA, where he teaches, among other things, queuing models and its usage in computer networks. He has been involved in the organization of a number of conferences and other courses at Thapar University, Patiala. His main research interests are in traffic analysis of Computer Networks, Neural Networks, and Pattern Recognition.

Author Articles
Segmentation of Isolated and Touching Characters in Offline Handwritten Gurmukhi Script Recognition

By Munish Kumar M. K. Jindal R. K. Sharma

DOI: https://doi.org/10.5815/ijitcs.2014.02.08, Pub. Date: 8 Jan. 2014

Segmentation of a word into characters is one of the important challenges in optical character recognition. This is even more challenging when we segment characters in an offline handwritten document. Touching characters make this problem more complex. In this paper, we have applied water reservoir based technique for identification and segmentation of touching characters in handwritten Gurmukhi words. Touching characters are segmented based on reservoir base area points. We could achieve 93.51% accuracy for character segmentation with this method. If the characters are neither broken nor overlapping, then this technique shall produce even better results.

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Other Articles