Title :
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
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;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne
