A system for high-speed pattern recognition and image analysis

Author

Säckinger, Eduard ; Graf, Hans-Peter

Author_Institution

Adaptive Syst. Dept., AT&T Bell Labs., Holmdel, NJ, USA

fYear

1994

fDate

26-28 Sep 1994

Firstpage

364

Lastpage

374

Abstract

A mixed analog/digital chip (ANNA) for fast 2-d convolution and matrix-vector multiplication has been developed (peak speed 20,000 MOPS). Two of these chips have been integrated on a 6U VME board, to serve as a high-speed platform for a wide variety of algorithms used in neural-network applications as well as in image analysis. The system has been tested for such tasks as character recognition, noise removal, and text location as well as for emulating cellular neural networks (CNN). A sustained speed of up to 2 billion connections per second (GC/s) and a recognition speed of 1000 characters per second with a sophisticated neural network has been measured

Keywords

image segmentation; VME board; cellular neural network; character recognition; fast 2D convolution; high-speed pattern recognition; image analysis; matrix-vector multiplication; mixed analog/digital chip; neural-network applications; noise removal; recognition speed; text location; Adaptive systems; Cellular neural networks; Character recognition; Convolution; Hardware; Image analysis; Network topology; Neurons; Pattern recognition; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on

Conference_Location

Turin

Print_ISBN

0-8186-6710-9

Type

conf

DOI

10.1109/ICMNN.1994.593732

Filename

593732