Heterogeneous input neuration for network-based object recognition architectures

TLDR: The simplification of the classical object recognition methodology is illustrated by the network based algorithm development of a simple 2-D character recognition system and the term heterogenous input neuration is introduced.

Abstract: The utilization of artificial neural networks (ANN) in the area of signal and image processing applications is showing great promise. The simplification of the classical object recognition methodology is illustrated by the network based algorithm development of a simple 2-D character recognition system. The hardware implementation of such a system is also discussed. An example of a network-based solution to a target recognition problem utilizing single sensor acoustic data is also addressed. The term heterogenous input neuration is introduced.