• DocumentCode
    2149557
  • Title

    Recognition of Multiple Characters in a Scene Image Using Arrangement of Local Features

  • Author

    Iwamura, Masakazu ; Kobayashi, Takuya ; Kise, Koichi

  • Author_Institution
    Grad. Sch. of Eng., Osaka Prefecture Univ., Sakai, Japan
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1409
  • Lastpage
    1413
  • Abstract
    Recognizing characters in a scene helps us obtain useful information. For the purpose, character recognition methods are required to recognize characters of various sizes, various rotation angles and complex layout on complex background. In this paper, we propose a character recognition method using local features having several desirable properties. The novelty of the proposed method is to take into account arrangement of local features so as to recognize multiple characters in an image unlike past methods. The effectiveness and possible improvement of the method are discussed.
  • Keywords
    character recognition; image recognition; natural language processing; complex background; complex layout; local feature arrangement; multiple character recognition; rotation angles; scene image; Artificial neural networks; Character recognition; Feature extraction; Image recognition; Image segmentation; Robustness; Shape; character recognition in a scene; complex background; local features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.283
  • Filename
    6065542