Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Automatic Container Placard Recognition System

컨테이너 플래카드 자동 인식 시스템

  • Heo, Gyeongyong (Department of Electronic Engineering, Dong-eui University) ;
  • Lee, Imgeun (Department of Game Animation Engineering, Dong-eui University)
  • Received : 2019.03.29
  • Accepted : 2019.04.19
  • Published : 2019.06.30
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Abstract

Various placards are attached to the surface of a container depending on the risk of the cargo loaded. Containers with dangerous goods should be managed separately from ordinary containers. Therefore, as part of the port automation system, there is a demand for automatic recognition of placards. In this paper, proposed is a system that automatically extracts the placard area based on the shape features of the placard and recognizes the contents in it. Various distortions can be caused by the surface curvature of the container, therefore, attention should be paid to the area extraction and recognition process. The proposed system can automatically extract the region of interest and recognize the placard using the feature that the placard is diamond shaped and the class number is written just above the lower vertex. When the proposed system is applied to real images, the placard can be recognized without error, and the used techniques can be applied to various image analysis systems.

컨테이너 표면에는 적재된 화물의 위험 여부에 따라 다양한 플래카드가 부착된다. 위험물이 적재된 컨테이너는 일반 컨테이너 별도로 관리되어야 하므로 항만 자동화 시스템의 일부로 플래카드 자동 인식에 대한 수요가 생겨나고 있다. 이 논문에서는 컨테이너의 후면을 촬영한 영상에서 플래카드의 형태적인 특징을 이용하여 자동으로 플래카드 영역을 추출하고 이를 인식하는 시스템을 제안한다. 플래카드 인식에서는 특히 컨테이너의 표면 굴곡에 의해 다양한 왜곡이 발생할 수 있으므로 영역 추출 및 인식 과정에서 주의가 필요하다. 제안하는 시스템은 플래카드가 다이아몬드 형태를 가지며, 클래스 번호가 아래 꼭지점 바로 위에 기입된다는 특징을 사용하여 관심 영역을 자동으로 추출하고, 플래카드를 자동으로 인식할 수 있다. 제안하는 시스템을 실제 이미지에 적용하였을 때 오류 없이 플래카드를 인식할 수 있었으며, 사용한 영상 분석 기법은 다양한 영상 분석 시스템에 적용될 수 있다.

Keywords

HOJBC0_2019_v23n6_659_f0001.png 이미지

Fig. 1 Information on a placard

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Fig. 2 Different placards of the same class

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Fig. 3 ROI extraction process

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Fig. 4 ROI extraction

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Fig. 5 Type I error in RoI extraction

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Fig. 6 Placard recognition process

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Fig. 7 Placard recognition

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Fig. 8 Number template

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Fig. 9 Placard recognition result

Table. 1 Placard recognition process

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