A Hierarchical Data Classification Model for Biometric Identification Systems

Author

Soviany, Sorin ; Puscoci, Sorin ; Jurian, Mariana

Author_Institution

Commun. Terminals & Telematics Dept., I.N.S.C.C., Bucharest, Romania

fYear

2012

fDate

19-21 Sept. 2012

Firstpage

23

Lastpage

30

Abstract

The paper presents an innovative hierarchical classification model which should be applied for large-scale biometric identification systems, in order to improve their performance. The model is relying on a multi-level fusion approach, but completed with a feature-selection strategy. The practical application of the proposed model concerns networks security issues, especially for databases remote access, but also physical access control issues such as border or other secured sites.

Keywords

authorisation; biometrics (access control); feature extraction; image classification; image fusion; innovation management; databases remote access; feature-selection strategy; hierarchical data classification model; innovative hierarchical classification model; large-scale biometric identification systems; multilevel fusion approach; network security issues; physical access control issues; secured sites; Biological system modeling; Error analysis; Feature extraction; Fingerprint recognition; Iris recognition; Support vector machine classification; Training; hierarchical classifier; multi-level biometric fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Intelligent Data and Web Technologies (EIDWT), 2012 Third International Conference on

Conference_Location

Bucharest

Print_ISBN

978-1-4673-1986-7

Type

conf

DOI

10.1109/EIDWT.2012.40

Filename

6354717