Using hand knuckle texture for biometric identifications

Author

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

Author_Institution

Departamento de Scfiales y Cnrminioaoiones, Univ. de Las Palmas de Gran Canaria

Volume

21

Issue

6

fYear

2006

fDate

6/1/2006 12:00:00 AM

Firstpage

23

Lastpage

27

Abstract

A proposed first approach of a novel and simple biometric verification system based on the texture of the hand knuckles. A knuckle image with scale, rotation, and translation invariance is isolated from the hand recorded image with digital image processing techniques. The wrinkle of the knuckle images are extracted to a black and white image which is used as biometric features. A hidden Markov model and a support vector machine are proposed as verifiers. A similar equal error We of 0.094 is reached by both classifiers with our preliminary database consisting of 8 samples of 20 people´s hands

Keywords

biometrics (access control); feature extraction; hidden Markov models; image texture; support vector machines; biometric features; biometric identifications; biometric verification system; digital image processing techniques; feature extraction; hand knuckle texture; hand recorded image; hidden Markov model; knuckle image; support vector machine; Authentication; Biometrics; Employment; Fingers; Geometry; Glass; Image segmentation; Image sensors; Sensor systems; Thumb;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems Magazine, IEEE

Publisher

ieee

ISSN

0885-8985

Type

jour

DOI

10.1109/MAES.2006.1662005

Filename

1662005