An analog VLSI neural network character recognition system: the feature extraction module

Author

Caviglia, Daniele D. ; Rossi, Annamaria ; Vincentelli, Mario ; Valle, Maurizio

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

1994

fDate

26-28 Sep 1994

Firstpage

212

Lastpage

217

Abstract

In this paper we present the analog architecture of a VLSI feature extraction module for a neural network based optical character recognition system. The algorithm for features extraction is mapped on analog circuit primitives and the computation is fully analog. The analog solution gives an efficient implementation and high performances. The complete circuit and physical design of the module is presented. The design has been verified through intensive circuit simulations

Keywords

VLSI; OCR system; analog VLSI neural network; analog architecture; character recognition system; circuit simulations; feature extraction module; Analog circuits; Analog computers; Character recognition; Computer architecture; Feature extraction; Neural networks; Optical character recognition software; Optical computing; Optical fiber networks; Very large scale integration;

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.1994.593712

Filename

593712

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1979045