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Cost Effective Optical Mark Reader

Journal: International Journal of Computer Science and Artificial Intelligence (Vol.3, No. 2)

Publication Date:

Authors : ;

Page : 44-49

Keywords : Optical Mark Recognition; Adaptive Threshold; Image Processing; GUI;

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Abstract

Optical Mark Recognition (OMR) is an automated process of capturing the information, usually in the form of bubbles or squares and analysing the same using complex computations in order to generate specific required knowledge. We propose a cost effective Optical Mark Reader; also the system is independent of color, brightness and illumination thus making the system flexible and robust for practical applications. The various systems available in the current market for the same purpose are costly, working on dedicated scanners and are dependent on a number of other parameters such as paper and print quality. The proposed system consists of an ordinary printer, scanner and a computer to perform computation and is assisted with a graphical user interface. Users can design forms of their choice and use it for survey or other related activities. The filled forms are scanned and scanned images are given as input to a computer, which does the computation and stores the result in a user understandable spreadsheet. The system is independent of hardware and system platform, thereby making it platform independent. The system was tested for over 5000 test forms with cent percent accuracy, thus proving the efficacy of adaptive comparison method of the proposed system. The system has wide range of applications in the field of exam evaluation, automated attendance and surveys.

Last modified: 2013-08-15 19:08:43