A Novel Handwriting Grading System Using Gurmukhi Characters

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.