Symbol Recognition Combining Vectorial and Pixel-Level Features for Line Drawings

  • Authors:
  • Feng Su;Tong Lu;Ruoyu Yang

  • Affiliations:
  • -;-;-

  • Venue:
  • ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
  • Year:
  • 2010

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Abstract

In this paper, we present an approach for symbol representation and recognition in line drawings, integrating both the vector-based structural description and pixel-level statistical features of the symbol. For the former, a vectorial template is defined on the basis of the vectorization model and exploited in segmenting symbols from the line network. For the latter, a Radon-transform-based signature is employed to characterize shapes on the symbol and the components level. Experimental results on real technical drawings are presented to show the promising aspect of our approach.