Massively parallel neural network recognition
Charles L. Wilson · 2003
The author discusses two complete neural network recognition systems, a character recognition system and a fingerprint classification system. The requirements for a total vision system must include the capability for image isolation, segmentation, and feature extraction, as well as recognition. The systems were developed on a massively parallel array processor which was used to illustrate the importance of these higher-level functions. Both of these systems demonstrated state-of-the-art accuracy but both need improvements to be commercially viable. The issue in the character recognition system is to provide this accuracy at a speed compatible with commercial requirements of 1 page/s. This will require more sophisticated higher-level image parsing functions without loss of accuracy. The issue in fingerprint classification is the requirement for 99.7% accuracy at current speeds.>