Paper
2 November 2000 Recognition of occluded images by dual nonlinear correlation
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Abstract
The dual nonlinear correlation processor is proposed to recognize occluded images. The analysis of the digital results of recognition is presented. The influence of the variable discrimination capability of the processor for the quality of correlation signal in the case of various level of occlusion and various information content of the apertured input scenes is shown.
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Katarzyna Chalasinska-Macukow and Robert Wasaznik "Recognition of occluded images by dual nonlinear correlation", Proc. SPIE 4113, Algorithms and Systems for Optical Information Processing IV, (2 November 2000); https://doi.org/10.1117/12.405849
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KEYWORDS
Nonlinear dynamics

Optical correlators

Signal processing

Image processing

Optoelectronics

Fingerprint recognition

Fourier transforms

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