A four-stage object recognition system using (1) Morlet wavelets, (2) vector quantization, (3) hierarchical feature building, and (4) graph matching with dynamical link architecture is presented. The main concept is that of hierarchically building robust features and topologically associating them with stored feature sets (graphs). The system, being comprised of spatially- local processing stages, is invariant to translation and robust with respect to distortion, partial occlusion, and rotation. Preliminary results from each processing stage are presented. A fusion system, derived from the presented paradigm, is proposed.
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