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Proceedings Paper

Shift-, rotation-, and limited-scale-invariant pattern recognition using synthetic discriminant functions
Author(s): OuYang Yueh; Pen-Wen Chen; Hon-Fai Yau
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Paper Abstract

We propose here a simple way to synthesize a shift, rotation and limited size correlation filter, making use of the idea of synthetic discriminant functions (SDF). The SDF is synthesized by superimposing four 2nd order circular harmonics of a training reference pattern in 4 different sizes. Computer simulation experiments have shown that the filter is indeed shift, fully rotation and limited size invariant over a size range from 1 to 1.75. The invariant range can be increased if more training patterns are used.

Paper Details

Date Published: 21 April 1995
PDF: 9 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206736
Show Author Affiliations
OuYang Yueh, National Central Univ. (Taiwan)
Pen-Wen Chen, National Central Univ. (Taiwan)
Hon-Fai Yau, National Central Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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