Invariant pattern recognition with eye movement: A neural network model

Abstract We propose a neural network model of the 2D invariant pattern recognition including a mechanism of saccadic eye movement. The model extracts every spatial relation between two primitive features (feature-relation) from a stimulus. The mechanism of saccadic eye movement enables the network to obtain all feature-relations present in the stimulus. This set of feature-relations describe uniquely the shape of pattern independent of position, scale, and deformation. Recognition of the presented pattern is achieved by classifying the obtained set of feature-relations. The ability of the model is confirmed by computer-simulation.