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An Efficient Method for Text Detection in Video Based on Stroke Width Similarity

  • Viet Cuong Dinh
  • Seong Soo Chun
  • Seungwook Cha
  • Hanjin Ryu
  • Sanghoon Sull
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4843)

Abstract

Text appearing in video provides semantic knowledge and significant information for video indexing and retrieval system. This paper proposes an effective method for text detection in video based on the similarity in stroke width of text (which is defined as the distance between two edges of a stroke). From the observation that text regions can be characterized by a dominant fixed stroke width, edge detection with local adaptive thresholds is first devised to keep text- while reducing background-regions. Second, morphological dilation operator with adaptive structuring element size determined by stroke width value is exploited to roughly localize text regions. Finally, to reduce false alarm and refine text location, a new multi-frame refinement method is applied. Experimental results show that the proposed method is not only robust to different levels of background complexity, but also effective to different fonts (size, color) and languages of text.

Keywords

Edge Detection Edge Pixel Text Region Dilation Operator Text Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Viet Cuong Dinh
    • 1
  • Seong Soo Chun
    • 1
  • Seungwook Cha
    • 1
  • Hanjin Ryu
    • 1
  • Sanghoon Sull
    • 1
  1. 1.Department of Electronics and Computer Engineering, Korea University, 5-1 Anam-dong, Seongbuk-gu, Seoul, 136-701Korea

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