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Proceedings Paper

Modeling of scaled and rotated images recognition using different variants of invariant correlation filters
Author(s): Petr A. Ivanov
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Paper Abstract

The presented paper deals to PC modeling of scaled and rotated images recognition based on different types of distortion invariant correlation filters. There was used a database of different images (both false and true class) that are under geometrical distortions and there were calculated correlation outputs for images recognition with the help of MACE, MINACE, GMACE, DCCF and polynomial filters and it's combinations for two-stage recognition. The results provide a possibility for successful usage of implemented algorithms.

Paper Details

Date Published: 20 April 2016
PDF: 6 pages
Proc. SPIE 9845, Optical Pattern Recognition XXVII, 98450T (20 April 2016); doi: 10.1117/12.2223965
Show Author Affiliations
Petr A. Ivanov, Yaroslavl State Technical Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 9845:
Optical Pattern Recognition XXVII
David Casasent; Mohammad S. Alam, Editor(s)

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