Digital signal processing system for image pattern recognition

This paper evaluates the possibility of using a digital signal processor (DSP) in order to implement an image pattern recognition system based on a neural network architecture. The paper presents a brief introduction to neural network architectures and how such architectures can be used in pattern recognition; it presents the implementation of the neural network using a very powerful DSP microcomputer (eg, ADSP 2189 from Analog Devices), illustrates the main results for a character recognition system (execution time and error probability), and presents some conclusions.