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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Vydané v:2008 IEEE International Symposium on Parallel and Distributed Processing with Applications s. 967 - 970
Hlavní autori: Hui Deng, Feng Wang, Bo Liang
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.12.2008
Predmet:
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
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Abstract 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.
AbstractList 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.
Author Feng Wang
Bo Liang
Hui Deng
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  fullname: Feng Wang
  organization: Comput. Technol. Appliance Key Lab., Kunming Univ. of Sci. & Technol., Kunming, China
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  surname: Bo Liang
  fullname: Bo Liang
  organization: Comput. Technol. Appliance Key Lab., Kunming Univ. of Sci. & Technol., Kunming, China
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Snippet Optical mark recognition (OMR) is a traditional data input technique and an important human computer interaction technique which is widely used in education...
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SubjectTerms Application software
Concurrent computing
Distributed computing
Distributed processing
Educational institutions
Educational technology
image processing
Image recognition
low-cost
OMR
Ordinary magnetoresistance
Printing
Testing
Title A Low-Cost OMR Solution for Educational Applications
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