Biometric identification system using a radial basis network

Author

Espinosa-Duró, Virginia

Author_Institution

Dept. of Electron. & Autom., Escuela Univ. Politecnica de Mataro, Spain

fYear

2000

fDate

2000

Firstpage

47

Lastpage

51

Abstract

The paper describes an efficient face identification method using a probabilistic neural net. Our system is compared to the method presented at ICCST´99, based on the Karhunen-Loeve transform for feature extraction (reduction of dimensionality of the input image), and a feedforward multilayer perceptron neural net, implemented as a classifier device, that performed the identification process

Keywords

Karhunen-Loeve transforms; biometrics (access control); face recognition; feature extraction; image classification; multilayer perceptrons; radial basis function networks; Karhunen-Loeve transform; biometric identification system; classifier device; face identification method; feature extraction; feedforward multilayer perceptron neural net; probabilistic neural net; radial basis network; Biometrics; Face detection; Face recognition; Feature extraction; Humans; Image databases; Neural networks; Principal component analysis; Real time systems; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Security Technology, 2000. Proceedings. IEEE 34th Annual 2000 International Carnahan Conference on

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-5965-8

Type

conf

DOI

10.1109/CCST.2000.891165

Filename

891165