Automated Multiple-Choice Test Checking System 

Abstract

This research study was conducted mainly to address the problems of checking test papers manually by teachers. The researchers developed a software application that offers fast and convenient way to check multiple-choice test. It applied the OCR as alternative solution for detecting the answer marks. The research design implemented the quantitative research with statistical analysis. The rectified answers detection algorithm is an improvised design solution that compensate the imperfection of the OCR. The algorithm rectifies the misinterpreted character and maps the matching letter as proper answer. There is important differentiation among automated and manual checking of test papers on efficiency. There is greatly important differentiation among color of pen with complete shading and color of pen with X symbol answer marks on the precision of OCR.