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

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.