• DocumentCode
    1790604
  • Title

    Text detection in video sequence using 1-D DCT

  • Author

    Do Kyoung Shin ; Jong Min Lee ; Yong Min Kim ; Young Shik Moon ; Ki Tae Park

  • Author_Institution
    Dept. of Radiat. Oncology, Case Western Reserve Univ., Cleveland, OH, USA
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, a new method of detecting text regions from video sequences, without prior knowledge such as font, color, size of characters is proposed. By analyzing the characteristics of text regions in video sequences, we found that text regions include both horizontal and vertical edges simultaneously, while background regions do not. Therefore, In order to detect text regions accurately, the detection of candidate object regions through 1D-DCT and an adaptive thresholding technique are proposed. Experimental results have shown that the proposed method successfully detects text regions regardless of environmental conditions such as low contrast, complex texture, and various colors and sizes.
  • Keywords
    character recognition; discrete cosine transforms; edge detection; image colour analysis; image sequences; text detection; video signal processing; 1D DCT; adaptive thresholding technique; background region; candidate object region detection; character color; character font; character size; horizontal edge; text region characteristics; text region detection; vertical edge; video sequence; Discrete cosine transforms; Educational institutions; Filtering; Image color analysis; Image edge detection; Video sequences; Discrete cosine transform; Horizontal and vertical edge maps; Text detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE 2014), The 18th IEEE International Symposium on
  • Conference_Location
    JeJu Island
  • Type

    conf

  • DOI
    10.1109/ISCE.2014.6884528
  • Filename
    6884528