DOI QR코드

DOI QR Code

Automatic Container Code Recognition from Multiple Views

  • 투고 : 2014.08.04
  • 심사 : 2016.05.30
  • 발행 : 2016.08.01

초록

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%.

키워드

참고문헌

  1. ISO 6346: 1995, ISO (International Organization for Standardization). http://www.iso.org/iso/home/store/catalogue_tc/catalogue_detail.htm?csnumber=20453
  2. S. Kumano et al., "Development of a Container Identification Mark Recognition System," Electron. Commun. Jpn. (Part II: Electron.), vol. 87, no. 12, Dec. 2004, pp. 38-50.
  3. W. Wu et al., "An Automated Vision System for Container-Code Recognition," Expert Syst. Appl., vol. 39, no. 3, Feb. 2012, pp. 2842-2855. https://doi.org/10.1016/j.eswa.2011.08.143
  4. C.E. Anagnostopoulos et al., "License Plate Recognition from Still Images and Video Sequences: A Survey," IEEE Trans. Intell. Transp. Syst., vol. 9, no. 3, 2008, pp. 377-391. https://doi.org/10.1109/TITS.2008.922938
  5. K.M. Koo and E.Y. Cha, "A Novel Container ISO-Code Recognition Method Using Texture Clustering with a Spatial Structure Window," Int. J. Adv. Sci. Technol., vol. 41, 2012, pp. 83-92.
  6. K. Wang, B. Babenko, and S. Belongie, "End-to-End Scene Text Recognition," Int. Conf. Comput. Vis., Barcelona, Spain, Nov. 6-13, 2011, pp. 1457-1464.
  7. Y. Yoon et al., "Blob Extraction based Character Segmentation Method for Automatic License Plate Recognition System," IEEE Int. Conf, Syst., Man, Cybernetics, Anchorage, AK, USA, Oct. 9-12, 2011, pp. 2192-2196.
  8. M. Sezgin and B. Sankur, "Survey over Image Thresholding Techniques and Quantitative Performance Evaluation," J. Electron. Imaging, vol. 13, no. 1, 2004, pp. 146-168. https://doi.org/10.1117/1.1631315
  9. Y. Yoon et al., "Best Combination of Binarization Methods for License Plate Character Segmentation," ETRI J., vol. 35, no. 3, June 2013, pp. 491-500. https://doi.org/10.4218/etrij.13.0112.0545
  10. C. Liu et al., "Handwritten Digit Recognition: Benchmarking of State-of-the-Art Techniques," Pattern Recogn., vol. 36, no. 10, Oct. 2003, pp. 2271-2285. https://doi.org/10.1016/S0031-3203(03)00085-2
  11. P.K. Atrey et al., "Multimodal Fusion for Multimedia Analysis: A Survey," Multimedia Syst., vol. 16, no. 6, 2010, pp. 345-379. https://doi.org/10.1007/s00530-010-0182-0
  12. A. Selinger and R.C. Nelson, "Appearance-Based Object Recognition Using Multiple Views," Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn., vol. 1, 2001, pp. I-905- I-911.
  13. G. Shakhnarovich, L. Lee, and T. Darrell, "Integrated Face and Gait Recognition from Multiple Views," Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recogn., vol. 1, 2001, pp. I-439-I-446
  14. D. Delannay, N. Danhier, and C. De Vleeschouwer, "Detection and Recognition of Sports (Wo)men from Multiple Views," ACM/IEEE Int. Conf. Distrib. Smart Cameras, Como, Italy, Aug. 30-Sept. 2, 2009, pp. 1-7.
  15. Y. Yoon et al., "Blob Detection and Filtering for Character Segmentation of License Plates," IEEE Int. Workshop Multimedia Signal Process., Banff, AB, USA, Sept. 17-19, 2012, pp. 349-353.
  16. A. Doring et al., "SeqAn an Efficient, Generic C++ Library for Sequence Analysis," BMC Bioinformatics, vol. 9, no. 1, 2008, p. 11. https://doi.org/10.1186/1471-2105-9-11

피인용 문헌

  1. Performance indicators and automatic identification systems in inland freight terminals for intermodal transport vol.12, pp.4, 2016, https://doi.org/10.1049/iet-its.2017.0349