• DocumentCode
    2438181
  • Title

    Recognizing numbers from the low-resolution patterns in digital images

  • Author

    Tsomko, Elena ; Kim, Hyoung Joong

  • Author_Institution
    Multimedia Dept., Namseoul Univ., Cheonan, South Korea
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we suggest a new method for solving a problem of recognition numbers from low-resolution (LR) patterns in digital images. Having the digital photographs, for example, with the cars, we can recognize the numbers in the license plates of the cars, even if the plate patterns are still unclear after applying the Super-Resolution. The proposed method is based on statistical analysis and learning the features of the single LR digit pattern with the features of high-resolution (HR) one.
  • Keywords
    feature extraction; image resolution; learning (artificial intelligence); object recognition; statistical analysis; HR; LR digit pattern feature learning; digital images; high-resolution feature; low-resolution patterns; number recognition; statistical analysis; super-resolution; Image edge detection; Licenses; Mathematical model; Pattern recognition; Shape; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis for Multimedia Interactive Services (WIAMIS), 2012 13th International Workshop on
  • Conference_Location
    Dublin
  • ISSN
    2158-5873
  • Print_ISBN
    978-1-4673-0791-8
  • Electronic_ISBN
    2158-5873
  • Type

    conf

  • DOI
    10.1109/WIAMIS.2012.6226777
  • Filename
    6226777