Authentication of individuals using hand geometry biometrics: a neural network approach.

Date

2007-12-01

Advisors

Journal Title

Journal ISSN

ISSN

1573-773X

Volume Title

Publisher

Springer Verlag

Type

Article

Peer reviewed

Yes

Abstract

Description

This paper introduces an inexpensive, powerful and easy to use hand geometry based biometric person authentication system using neural networks. The proposed approach followed to construct this system consists of an acquisition device, a pre-processing stage, and a neural network based classifier. One of the novelties of this work is the introduction of hand geometry-related, position independent, feature extraction and identification which can be useful in problems related to image processing and pattern recognition. Another novelty of this research is the use of error correction codes to enhance the level of performance of the neural network model.

Keywords

RAE 2008, UoA 23 Computer Science and Informatics, biometrics, hand geometry, neural network, biometrical features, feature extraction, feature identification, authentication of individual

Citation

Faundez-Zanuy, M. et al. (2007) Authentication of individuals using hand geometry biometrics: a neural network approach. Neural Processing Letters, 26(3), pp. 201-216.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)