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Proceedings Paper

Rotation- and translation-invariant pattern recognition based on distance transformations
Author(s): Juergen Moeschen; Bedrich J. Hosticka
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Paper Abstract

In this paper a statistical approach for pattern recognition, based on a distance transformation, will be presented. The algorism 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.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24183
Show Author Affiliations
Juergen Moeschen, Fraunhofer Institute of Microelectronic Circuits and Systems (Germany)
Bedrich J. Hosticka, Fraunhofer Institute of Microelectronic Circuits and Systems (Germany)


Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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