Advanced Concepts for Intelligent Vision Systems

Volume 6915 of the series Lecture Notes in Computer Science pp 249-260

DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method

  • Santosh K.C.Affiliated withINRIA Nancy Grand Est Research Centre
  • , Bart LamiroyAffiliated withNancy Université INPL
  • , Laurent WendlingAffiliated withLIPADE, Université Paris Descartes

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In this paper, we present a method for pattern such as graphical symbol and shape recognition and retrieval. It is basically based on dynamic programming for matching the Radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of histograms at every projecting angle. This allows to exploit the Radon property to include both boundary as internal structure of shapes, while avoiding compressing pattern representation into a single vector and thus miss information, thanks to the DTW. Experimental results show that the method is robust to distortion and degradation including affine transformations.


Radon Transform DTW Pattern Recognition and Retrieval