A Low-Cost OMR Solution for Educational Applications

Optical mark recognition (OMR) is a traditional data input technique and an important human computer interaction technique which is widely used in education testing. Aimed at the drawbacks of current OMR technique, a new image-based low cost OMR technique is presented in the paper. The new technique...

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Bibliographic Details
Published in:2008 IEEE International Symposium on Parallel and Distributed Processing with Applications pp. 967 - 970
Main Authors: Hui Deng, Feng Wang, Bo Liang
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2008
Subjects:
Application software
Concurrent computing
Distributed computing
Distributed processing
Educational institutions
Educational technology
image processing
Image recognition
low-cost
OMR
Ordinary magnetoresistance
Printing
Testing
ISBN:9780769534718, 0769534716
ISSN:2158-9178
Online Access:Get full text
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Summary:Optical mark recognition (OMR) is a traditional data input technique and an important human computer interaction technique which is widely used in education testing. Aimed at the drawbacks of current OMR technique, a new image-based low cost OMR technique is presented in the paper. The new technique is capable of processing thin papers and low-printing precision answer sheets. The system key techniques and relevant implementations, which include the image scan, tilt correction, scanning error correction, regional deformation correction and mark recognition, are presented. This new technique is proved robust and effective by the processing results of large amount of questionnaires.
ISBN:9780769534718
0769534716
ISSN:2158-9178
DOI:10.1109/ISPA.2008.130