IJSRP, Volume 5, Issue 2, February 2015 Edition [ISSN 2250-3153]
Rajib Bag, Gautam, Komal Das, P. Mohini Amma
This paper deals with recognizing and classifying handwritten characters and classifies it with respect to other characters in the method for attendance calculation system. Existing system of calculation of attendance contains manual calculation for the number of students present or absent in a class. In this paper we proposed a digitized method for calculating number of classes present and absent for a student which in the previous case is time consuming and may sometimes produce incorrect result in some cases. It uses features of a character extracted using feature extraction techniques. There are methods been proposed for feature extraction that can be simulated using support vector machine for further calculation of the attendance using the attendance register. Support vector machine is one of the techniques that are used to classify a handwritten character based on handwriting recognition and identify the digitized output Support vector machine classifies a character by using a large number of training set that needs to be fed into the database for the accurate output.