AUTHOR/S: Dominique Gerald M. Cimafranca

DATE COMPLETED: April 1, 2016

KEYWORDS: OMR, Optical Mark Recognition, Free Software, Open Source, FOSS, scanner, GNU/ Linux, Python, survey

ABSTRACT

             Optical Mark Recognition (OMR) is a category of tool that can interpret, check, tally, and encode marks made on paper. This tool is most often used in automatic processing of questionnaires, survey forms, election ballots, and examination papers. 

             This study evaluated the suitability of a free and open source software (FOSS) OMR suite called SDAPS for Ateneo de Davao, specifically in operations surveys and exams. SDAPS was eventually used in a large scale community survey with almost 2,000 respondents. SDAPS demonstrated robustness and flexibility, registering only 20 mark recognition errors out of 1.6M possible marks. 

             This study is an analysis of the decisions and results from an implementation of SDAPS. It also serves as a practical working guide for setting up SDAPS.

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