Author : Varsha Kumari 1
Date of Publication :22nd February 2018
Abstract: Recently there has been a considerable increase in the competitive examination and academic examination. Most of these examinations are using Optical Mark Recognition (OMR) sheet for filling the right choice of Objective type questions commonly known as Multiple Choice Questions (MCQs). In this examination process, every question consists of four different choices and the candidate has to mark the right choice. OMR system is used to avoid counting mistake and it reduces manual work of evaluation. In this paper, we are discussing different techniques used in OMR based evaluation. This paper proposes an efficient OMR evaluation technique to reduce the time of evaluation of OMR sheet. The main focus of the paper is on parallel processing in capturing the image and evaluation. The work is divided into two phases. First one is the processing phase in which OMR sheet is captured and data of every question is taken into matrix form. The second phase is the evaluation phase in which the result is calculated on multi-core processor architecture using the proposed algorithm. Also, comparative analysis of sequential and parallel OMR processing has been shown. It is expected to get optimized utilization of processors and processing time
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