• DocumentCode
    3021759
  • Title

    A proposal of the effective recognition method for low-resolution characters from motion images

  • Author

    Nomura, Makoto ; Yamamoto, Kazuhiko ; Ohta, Hirotaka ; Kato, Kunihito

  • Author_Institution
    Fac. of Eng., Gifu Univ., Japan
  • fYear
    2005
  • fDate
    29 Aug.-1 Sept. 2005
  • Firstpage
    720
  • Abstract
    In this paper we propose a new effective method for low-resolution character recognition from motion images. This method extracts the feature directly from low-resolution images first, and reconstructs the high-resolution feature. Since low-resolution characters of motion images are recognized, a general idea is to reconstruct a high-resolution image first by using these low-resolution images, and it is extracted the feature from that high-resolution image. Feature extraction process of our proposed method has different view of the general idea. Our proposed method has higher accuracy than the general idea in low-resolution characters recognition. We show advantages of it by comparative recognition experiments under the database images and motion images.
  • Keywords
    character recognition; feature extraction; image motion analysis; image reconstruction; image resolution; feature extraction; feature reconstruction; image reconstruction; image resolution; low-resolution character recognition; motion images; Character recognition; Feature extraction; Gravity; Image databases; Image edge detection; Image recognition; Image reconstruction; Pixel; Proposals; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
  • ISSN
    1520-5263
  • Print_ISBN
    0-7695-2420-6
  • Type

    conf

  • DOI
    10.1109/ICDAR.2005.28
  • Filename
    1575639