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Proceedings Paper

Multi-Spectral Scale And Rotation Invariant Associative Memory Method For Pattern Recognition
Author(s): Steven F. Kimball; Richard A. Messner
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Paper Abstract

The method of using log-polar mapping with spectral band separation to form feature vectors for an associative memory is investigated. Log-polar mapping is used to provide the scale and rotation invariant properties. This reduces the teaching time and total capacity requirement for the associative memory because all orientations and sizes of the target object need not be learned. The images are also broken down into spatial frequency bands. The use of this technique is motivated by evidence that similar processes occur in the human visual system. Suspected benefits include enhanced recognition in the presence of noise and improved network robustness. Simulation results are presented for the case of character recognition.

Paper Details

Date Published: 7 March 1989
PDF: 7 pages
Proc. SPIE 1005, Optics, Illumination, and Image Sensing for Machine Vision III, (7 March 1989); doi: 10.1117/12.949029
Show Author Affiliations
Steven F. Kimball, University of New Hampshire (United States)
Richard A. Messner, University of New Hampshire (United States)


Published in SPIE Proceedings Vol. 1005:
Optics, Illumination, and Image Sensing for Machine Vision III
Donald J. Svetkoff, Editor(s)

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