• DocumentCode
    3731235
  • Title

    Research of Molten Iron Ladles location based on number recognition

  • Author

    Chong Wu; Ling Xiong; Jianqiao Tang

  • Author_Institution
    College of Information Science and Engineering, Wuhan University of Science and Technology, China
  • fYear
    2015
  • Firstpage
    2106
  • Lastpage
    2109
  • Abstract
    The information of the Molten Iron Ladles (MIL) plays an important role in the reasonable scheduling for Overhead Traveling Crane (OTC) of steelmaking plant. Currently, to locate the MIL by manual recognition is low efficiency and large workload. For this, a method of the MIL location based on number recognition is proposed in this paper. First, the mathematical morphology is used to locate and extract the character area of the ladles, and then, the vertical projection method is used to segment the character image, finally, the digital character is discerned based on template matching. The results show that the recognition rate reached 96.2% by the above proposed method, which meets the development needs of the data information intelligence in the enterprise.
  • Keywords
    "Handwriting recognition","Manuals","Wireless LAN","Morphology","Radiofrequency identification","Instruments","Compounds"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382852
  • Filename
    7382852