• DocumentCode
    2015993
  • Title

    Segmentation of Very Low Resolution Screen-Rendered Text

  • Author

    Wachenfeld, Steffen ; Klein, Hans-Ulrich ; Fleischer, Stefan ; Jiang, Xiaoyi

  • Author_Institution
    Univ. of Munster, Munster
  • Volume
    2
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    1153
  • Lastpage
    1157
  • Abstract
    The lower the resolution of a given text is, the more difficult it becomes to segment it into single characters. The resolution of screen-rendered text can be very low. This paper focuses on smoothed screen-rendered text of very low resolution with typical x-heights of 4 to 7 pixels which is much lower than in other low resolution OCR situations. We propose a recognition-based segmentation algorithm which makes use of over segmentation by dynamic programming, candidate rating by single character classifiers and a graph based search algorithm for an optimal cut sequence. The algorithm is described in detail and experimental results are presented which show the performance on example screen- shot images taken from the public Screen-Word database.
  • Keywords
    dynamic programming; graph theory; image classification; image resolution; image segmentation; search problems; text analysis; character classifiers; dynamic programming; graph based search algorithm; optimal cut sequence; recognition-based segmentation algorithm; screen-rendered text resolution; very low resolution screen-rendered text; Character recognition; Classification algorithms; Computer science; Computer vision; Dynamic programming; Focusing; Image databases; Image segmentation; Optical character recognition software; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4377096
  • Filename
    4377096