On a higher-order neural network for distortion invariant pattern recognition

Abstract

This paper proposed some methods upon a second-order neural network. These networks apply the normalized frequency distribution of distance between two points on an object. 0.766 of the recognition accuracy for 2D two-class mixture distributions and 0.960 for hand-written characters are achieved.