Multisampling approach applied to contactless hand biometrics

Author

Morales, Aythami ; Ferrer, Miguel A. ; Travieso, Carlos M. ; Alonso, Jesus B.

Author_Institution

Inst. Univ. para el Desarrollo Tecnol. y la Innovacion en Comun. (IDeTIC), Univ. de Las Palmas, Las Palmas de Gran Canaria, Spain

fYear

2012

fDate

15-18 Oct. 2012

Firstpage

224

Lastpage

229

Abstract

This paper proposes a novel contactless biometrie system for multisampling hand recognition. We include a novel acquisition device for contactless hand recognition and a study about the multi-sample acquisition as a way to improve the performance. Popular features extraction methods for hand geometry and palmprint are studied and a database of 100 people with more than 2000 hand is employed for the experimentation. The results suggest how a multi-sample approach outperforms the traditional single sample approach with improvements around 47% and EER of 0.21%.

Keywords

feature extraction; palmprint recognition; contactless biometric; contactless hand biometrics; contactless hand recognition; features extraction methods; hand geometry; hand recognition; multisample acquisition; multisample approach; multisampling approach; palmprint; Biometry; contactless; geometry; hand; multibiomometric; multisample; palmprint; recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Security Technology (ICCST), 2012 IEEE International Carnahan Conference on

Conference_Location

Boston, MA

ISSN

1071-6572

Print_ISBN

978-1-4673-2450-2

Electronic_ISBN

1071-6572

Type

conf

DOI

10.1109/CCST.2012.6393563

Filename

6393563