Real Scene Sign Recognition

نویسندگان

  • Linlin Li
  • Chew Lim Tan
چکیده

A common problem encountered in recognizing signs in realscene images is the perspective deformation. In this paper, we employ a descriptor named Cross Ratio Spectrum for recognizing real scene signs. Particularly, this method will be applied in two different ways: recognizing a multi-component sign as an whole entity or recognizing individual components separately. For the second strategy, a graph matching is used to finally decide the identify of the query sign.

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تاریخ انتشار 2009