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http://dx.doi.org/10.4218/etrij.16.0014.0069

Automatic Container Code Recognition from Multiple Views  

Yoon, Youngwoo (SW & Contents Research Laboratory, ETRI)
Ban, Kyu-Dae (SW & Contents Research Laboratory, ETRI)
Yoon, Hosub (SW & Contents Research Laboratory, ETRI)
Kim, Jaehong (SW & Contents Research Laboratory, ETRI)
Publication Information
ETRI Journal / v.38, no.4, 2016 , pp. 767-775 More about this Journal
Abstract
Automatic container code recognition from a captured image is used for tracking and monitoring containers, but often fails when the code is not captured clearly. In this paper, we increase the accuracy of container code recognition using multiple views. A character-level integration method combines recognized codes from different single views to generate a new code. A decision-level integration selects the most probable results from the codes from single views and the new integrated code. The experiment confirmed that the proposed integration works successfully. The recognition from single views achieved an accuracy of around 70% for the test images collected on a working pier, whereas the proposed integration method showed an accuracy of 96%.
Keywords
Container code recognition; container mark identification; multiple views; character recognition;
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Times Cited By KSCI : 1  (Citation Analysis)
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