Rotation-Invariant Synthetic Discriminant Function Filter for Pattern Recognition

Author(s)

Vahid R. Riasati, University of South Alabama
Partha P. Banerjee, University of DaytonFollow
Mustafa A. G. Abushagur, University of Alabama, Huntsville
Kenneth B. Howell, University of Alabama, Huntsville

Document Type

Article

Publication Date

5-2000

Publication Source

Optical Engineering

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.

Copyright

Copyright © 2000, Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Publisher

Society of Photo-Optical Instrumentation Engineers (SPIE)

Volume

39

Peer Reviewed

yes

Issue

5

eCommons Citation

Riasati, Vahid R.; Banerjee, Partha P.; Abushagur, Mustafa A. G.; and Howell, Kenneth B., "Rotation-Invariant Synthetic Discriminant Function Filter for Pattern Recognition" (2000). Electrical and Computer Engineering Faculty Publications. 268.
https://ecommons.udayton.edu/ece_fac_pub/268