Title :
Biometric verification of humans by means of hand geometry
Author :
Faundez-Zanuy, Marcos
Author_Institution :
Dep. de Telecomunicaciones y Arquitectura de computadores, Escola Universitaria Politecnica de Mataro, Spain
Abstract :
This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64%, and a minimum value of the detection cost function equal to 2.92% using a multi layer perceptron classifier.
Keywords :
biometrics (access control); feature extraction; image classification; multilayer perceptrons; biometric identification system; biometric verification; detection cost function; feature extraction; hand geometry; multi layer perceptron classifier; neural network; Biometrics; Cost function; Data mining; Feature extraction; Geometry; Humans; Spatial databases; Sun; Telecommunication computing; Universal Serial Bus; Hand geometry; Neural Networks; chain code; feature extraction;
Conference_Titel :
Security Technology, 2005. CCST '05. 39th Annual 2005 International Carnahan Conference on
Print_ISBN :
0-7803-9245-0
DOI :
10.1109/CCST.2005.1594816
