Abstract This paper presents a new technique for grading the writers based on their handwriting. This process of grading shall be helpful in organizing handwriting competitions and then deciding the winners on the basis of an automated process. For testing data set, we have collected samples from one hundred different writers. In order to establish the correctness of our approach, we have also considered these characters, taken from one printed Gurmukhi font (Anandpur Sahib) in testing data set. For training data set, we have considered these characters, taken from four printed Gurmukhi fonts, namely, Language Materials Project (LMP) Taran, Maharaja, Granthi and Gurmukhi_Lys. Nearest Neighbour classifier has been used for obtaining a classification score for each writer. Finally, the writers are graded based on their classification score.

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[13] Rampalli R. and Ramakrishnan A G., Fusion of Complementary Online and Offline Strategies for Recognition of Handwritten Kannada Characters, Journal of Universal Computer Science, vol. 17, no. 1, pp. 81-93, 2011. 950 The International Arab Journal of Information Technology, Vol. 15, No. 6, November 2018 Munish Kumar received his Bachelors degree in Information Technology from Punjab Technical University, Jalandhar, India in 2006 and Post Graduate degree in Computer Science & Engineering from Thapar University, Patiala, India in 2008. He received his PhD degree in Computer Science from Thapar University, Patiala, India in 2015. He started his carrier as Assistant Professor in computer application at Jaito centre of Punjabi university, Patiala. He is working as Assistant Professor in Panjab University Rural Centre, Kauni, Muktsar, Punjab, INDIA. His research interests include Character Recognition and Handwriting Recognition. Manish Jindal received his Bachelors degree in science in 1996 and Post Graduate degree in Computer Applications from Punjabi University, Patiala, India in 1999. He received his PhD degree in computer science & engineering from Thapar University, Patiala, India in 2008. He is working as Associate Professor in Panjab University Regional Centre, Muktsar, Punjab, INDIA. His research interests include Character Recognition. Rajendra 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.