• DocumentCode
    2551690
  • Title

    A method of container codes detection and segmentation by using improved projection algorithm

  • Author

    Tai, Shen-Chuan ; Chang, Tang-Yu ; Wang, Shih-Yu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    587
  • Lastpage
    592
  • Abstract
    In recent year, surveillance system is widely used in our daily life. The surveillance system is usually applied to monitor specify target for some purpose. Intelligence surveillance system can helps us to get interested information from the monitor screen. In addition to applied to security monitor in our living environment and people or traffic flow statistics, it also widely used in management. Therefore, how to use existing surveillance system to improve the accuracy rate with reducing the human resources is an important issue. Most of the current surveillance systems focus on license plate detection, and we try to extend the detect object to the containers. The existing license plate detection algorithm would face some difficulties with using on container codes detection. This paper presents a character region extraction method for containers. We also improved projection method to reduce the effect caused by bars or marks on container and make it can be used to detect irregular rows of characters.
  • Keywords
    containers; feature extraction; image segmentation; monitoring; object detection; road traffic; surveillance; character region extraction method; container code detection; container code segmentation; human resources; intelligence surveillance system; license plate detection; object detection; screen; security monitoring; target monitoring; traffic flow statistics; Containers; Image color analysis; Image edge detection; Image segmentation; Licenses; Pixel; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970581
  • Filename
    5970581