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Rotation- and translation-invariant pattern recognition based on distance transformations

: Hosticka, B.J.; Möschen, J.

Kunt, M. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Visual Communications and Image Processing '90
Bellingham/Wash.: SPIE, 1990 (SPIE Proceedings Series 1360)
ISBN: 0-8194-0421-7
Visual Communications and Image Processing <5, 1990, Lausanne>
Conference Paper
Fraunhofer IMS ()
distance transformation; Histogram classification; Mustererkennung; Rotation-invariance; Scaling-invariance

In this paper a statistical approach for pattern recognition, based on a distance transformation, will be presented. The algorithm enables multiclass rotation- and translation invariant pattern recognition and can be made optionally scale invariant. Beside the theory of the algorithm we will present some practical application examples and propose a system architecture for a high speed hardware implementation including an ASIC architecture.