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Author/Affiliation: Enoch Opanin GyamfiOpen AccessArticle
12 Pages, 1,284 KB 
Pixel-Based Unsupervised Classification Approach for Information Detection on Optical Markup Recognition Sheet
Abstract:
This paper proposed an Optical Markup Recognition (OMR) system to be used to detect shaded options of students after MCQ-type examinations. The designed system employed the pixel-based unsupervised classification approach with image pre-processing strategies and compared its efficiencies, in terms of speed and accuracy, with object-based supervised or unsupervised classification OMR systems. Speed and accuracy…
Read More(This article belongs to Section Imaging Science & Photographic Technology (IPT))