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Article
Rotation-Invariant Synthetic Discriminant Function Filter for Pattern Recognition
Optical Engineering
  • Vahid R. Riasati, University of South Alabama
  • Partha P. Banerjee, University of Dayton
  • Mustafa A. G. Abushagur, University of Alabama, Huntsville
  • Kenneth B. Howell, University of Alabama, Huntsville
Document Type
Article
Publication Date
5-1-2000
Abstract

The ring synthetic discriminant function (RSDF) filter for rotation-invariant response is discussed for pattern recognition. This method uses one half of a slice of the Fourier transform of the object to generate the transfer function of the filter. This is accomplished by rotating the one half of a slice in the Fourier domain through 2π rad about the zero-frequency point of the Fourier plane. This filter has the advantage of always matching at least one half of a slice of the Fourier transform of any rotation of the image. An analytical discussion of the filter construction and correlation results are presented along with simulated correlation results for a particular target image. These results and established metrics are used for comparison with benchmark algorithms.

Inclusive pages
1156-1161
ISBN/ISSN
0091-3286
Document Version
Published Version
Comments

This document is provided for download in compliance with the publisher's policy on self-archiving. Permission documentation is on file.

Publisher
Society of Photo-Optical Instrumentation Engineers (SPIE)
Peer Reviewed
Yes
Citation Information
Vahid R. Riasati, Partha P. Banerjee, Mustafa A. G. Abushagur and Kenneth B. Howell. "Rotation-Invariant Synthetic Discriminant Function Filter for Pattern Recognition" Optical Engineering Vol. 39 Iss. 5 (2000)
Available at: http://works.bepress.com/partha_banerjee/84/