Contact-free hand biometric system for real environments

Author

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

Author_Institution

Dept. of Signals & Commun., Univ. of Las Palmas de Gran Canaria, Las Palmas, Spain

fYear

2008

fDate

25-29 Aug. 2008

Firstpage

1

Lastpage

5

Abstract

This paper presents a novel contact-free biometric identification system based on geometrical features of the human hand. The right hand images are acquired by a commercial modified webcam with a 320×240 pixels resolution. The hand is illuminated by an infra-red light to solve segmentation problems in a real environment. The geometrical features are obtained from the binarized images and consist in normalized measures of the index, middle and ring fingers. A Support Vector Machines is used as verifier. A decision level fusion has been used for the final recognition with an EER of 3.4%.

Keywords

fingerprint identification; image fusion; image resolution; image segmentation; support vector machines; contact-free biometric identification system; contact-free hand biometric system; decision level fusion; geometrical features; human hand; image recognition; image segmentation problem; index finger; infrared light; middle finger; right hand image; ring finger; support vector machines; Geometry; Image segmentation; Lighting; Shape; Support vector machines; Thumb;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference, 2008 16th European

Conference_Location

Lausanne

ISSN

2219-5491

Type

conf

Filename

7080630