Text Extraction Based on Nonlinear Frame

  • Yujing Guan
  • Lixin Zhang
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2251)

Abstract

Locating and extracting text in image or video has been studied in recent decade. There is no method robust for all kinds of text, it may be necessary to apply different methods to extract different kinds of text and fuse these results temporarily. So finding new method is important. In this paper, we combine order statistic and frame theory and give a new method, it can extract text of various colors and size once, the experimental result is satisfying.

Keywords

Order Statistic Optical Character Recognition Gray Image Text Character Frame Theory 
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 2001

Authors and Affiliations

  • Yujing Guan
    • 1
  • Lixin Zhang
    • 2
  1. 1.Jilin University Information Technologies Co. LtdChangchunP. R. China
  2. 2.Mathematics DepartmentJilin UniversityChangchunP. R. China

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