• DocumentCode
    1651340
  • Title

    Deformed and Touched Characters Recognition

  • Author

    Hyuga, Tatsuhiro ; Wada, Hiroyuki ; Aizawa, Takehiro ; Ijiri, Yoshihisa ; Kawade, Masato

  • Author_Institution
    OMRON Corp., Kyoto, Japan
  • fYear
    2013
  • Firstpage
    744
  • Lastpage
    745
  • Abstract
    In this demonstration, we will show our Optical Character Recognition(OCR) technique. Character deformation and touching problems often occur during high-speed printing process in the machine vision industry. As a result, it is difficult for OCR system to segment and recognize characters properly. To solve these problems, we propose a novel OCR technique which is robust against deformation and touching. It splits regions of characters simply and excessively, recognizes all segments and merged regions, and obtains optimal segments using graph theory.
  • Keywords
    computer vision; graph theory; optical character recognition; OCR technique; deformed characters recognition; graph theory; high-speed printing process; machine vision industry; merged regions; optical character recognition; optimal segments; touched characters recognition; Character recognition; Image segmentation; Industries; Object segmentation; Optical character recognition software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ACPR), 2013 2nd IAPR Asian Conference on
  • Conference_Location
    Naha
  • Type

    conf

  • DOI
    10.1109/ACPR.2013.193
  • Filename
    6778421