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Journal Article
Automatic Container Code Recognition from Multiple Views
- Authors
- Youngwoo Yoon, Kyu-Dae Ban, Hosub Yoon, Jaehong Kim
- Issue Date
- 2016-08
- Citation
- ETRI Journal, v.38, no.4, pp.767-775
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- 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 decisionlevel 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%.
- KSP Keywords
- Integration methods, Multiple views, character-level, container code recognition