• DocumentCode
    2249514
  • Title

    The fast stroke filter

  • Author

    Su, Yi-Ching ; Lee, Chen-Wei ; Yang, Yung-Hsuan

  • Author_Institution
    Dept. of Inf. Eng., I-SHOU Univ., Kaohsiung, Taiwan
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    3044
  • Lastpage
    3049
  • Abstract
    A stroke is defined as a straight line or arc corresponding to a segment of character, and a character is composed of one or several strokes. A novel fast stroke filter which can localize stroke-like structures with very high speed has been proposed in this paper. Compared with related work, our fast stroke filter attacks the stroke detection problem in a more efficient way. It uses line segments to sampling the intercept of stroke body along both perpendicular axes, and then stroke orientation can simply be determined by a set of qualification rules. Much computing redundancy existing in the original stroke filter can be reduced, and the computation scale has been downsized from rectangle to line. According to our experimental results, fast stroke filter is superior to original stroke filter in both speed and quality, and the averaged speed-up is over 30 times.
  • Keywords
    character recognition; image recognition; text analysis; character segment; fast stroke filter; qualification rules; stroke like structures; Classification algorithms; Filtering algorithms; Filtering theory; Matched filters; Pixel; Qualifications; License plate detection; Stroke filter; Stroke structure; Text detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580744
  • Filename
    5580744