1 February 2003 Automatic object identification irrespective of geometric changes
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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.
© (2003) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jose Luis Pech-Pacheco, Jose Luis Pech-Pacheco, Josue Alvarez-Borrego, Josue Alvarez-Borrego, Gabriel Cristobal, Gabriel Cristobal, Matthias S. Keil, Matthias S. Keil, } "Automatic object identification irrespective of geometric changes," Optical Engineering 42(2), (1 February 2003). https://doi.org/10.1117/1.1531189 . Submission:
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