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Optical Engineering

Automatic object identification irrespective of geometric changes
Author(s): Jose Luis Pech-Pacheco; Josue Alvarez-Borrego; Gabriel Cristobal; Matthias S. Keil
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Paper Abstract

We present a new approach to achieve object identification based on the use of phase correlation in the scale transform domain for automatic character recognition. The results are extensible to other fields. The proposed method is shown to be invariant to translation, rotation, and scale. We extended the methodology used by Casasent and Psaltis by considering a more efficient digital scale transform as an alternative to the Fourier-Mellin techniques. To improve the discriminative power, we introduce a new template matching based on the use of a modified weighted log-polar spectrum. The correlations have been calculated by using phase-only filters (POF) in a digital system. The proposed method is able to provide discrimination between scale and rotation in images to facilitate image registration.

Paper Details

Date Published: 1 February 2003
PDF: 9 pages
Opt. Eng. 42(2) doi: 10.1117/1.1531189
Published in: Optical Engineering Volume 42, Issue 2
Show Author Affiliations
Jose Luis Pech-Pacheco, Consejo Superior de Investigaciones Cientificas (Spain)
Josue Alvarez-Borrego, CICESE (United States)
Gabriel Cristobal, Consejo Superior de Investigaciones Cientificas (Spain)
Matthias S. Keil, Instituto de Optica (Spain)


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