A Multiple-Choice Test Recognition System based on the Gamera Framework

Details A Multiple-Choice Test Recognition System based on the Gamera Framework A Multiple-Choice Test Recognition System based on the Gamera Framework

2011-05-19

arxiv.org/abs/1105.3834v1

C. Dalitz (Ed.): "Document Image Analysis with the Gamera Framework." Schriftenreihe des Fachbereichs Elektrotechnik und Infor

Computer Science

Computer Vision and Pattern Recognition

11 pages, 4 figures

Scientific paper

This article describes JECT-OMR, a system that analyzes digital images representing scans of multiple-choice tests compiled by students. The system performs a structural analysis of the document in order to get the chosen answer for each question, and it also contains a bar-code decoder, used for the identification of additional information encoded in the document. JECT-OMR was implemented using the Python programming language, and leverages the power of the Gamera framework in order to accomplish its task. The system exhibits an accuracy of over 99% in the recognition of marked and non-marked squares representing answers, thus making it suitable for real world applications

Affiliated with

Also associated with

No associations

Rating

A Multiple-Choice Test Recognition System based on the Gamera Framework does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Multiple-Choice Test Recognition System based on the Gamera Framework, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Multiple-Choice Test Recognition System based on the Gamera Framework will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-69058