학술논문

Using hand knuckle texture for biometric identifications
Document Type
Periodical
Source
IEEE Aerospace and Electronic Systems Magazine IEEE Aerosp. Electron. Syst. Mag. Aerospace and Electronic Systems Magazine, IEEE. 21(6):23-27 Jun, 2006
Subject
Aerospace
Transportation
Biometrics
Fingers
Geometry
Glass
Image sensors
Sensor systems
Employment
Image segmentation
Authentication
Thumb
Language
ISSN
0885-8985
1557-959X
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.