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Automatic Grading of Figures in Digitalized Answer Scripts


Sandeep Kartha R , M.A. College of Engineering, Kothamangalam; Aby Abahai T, M.A. College of Engineering, Kothamangalam; Surekha Mariam Varghese, M.A. College of Engineering, Kothamangalam


Optical Character Recognition (OCR), Handwriting recognition, Digitalized Answer Scripts


Examinations are used for measuring the knowledge level of students. From previous times itself, examinations are evaluated according to conceptual content present in it. If there is an automated system for evaluating the answers and figures, the evaluation can be done much faster. A new system is introduced for the evaluation of hand drawn images. Handwriting recognition itself is one of the most challenging research areas in field of image processing and pattern recognition. So the purpose of the system is to evaluate the student’s hand drawn images and to verify that how much it is correlated with the manual evaluation of images. The texts and shapes that are appearing in the images are extracted using image processing techniques. The grades are calculated by comparing it with the original image. The system aims to make an automated system to evaluate student’s hand drawn image which produces the grades and to check whether the system is effective similar to the manual evaluation method.

Other Details

Paper ID: IJSRDV3I90611
Published in: Volume : 3, Issue : 9
Publication Date: 01/12/2015
Page(s): 890-894

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