Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44110
Title: Biometric system based in the feature of hand palm
Authors: Díaz, M. Rafael
Travieso, Carlos M. 
Alonso, Jesús B. 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Biometrics , Security , Image databases , Authentication , Geometry , Spatial databases , Fingers , Neural networks , Multi-layer neural network , Industrial training
Issue Date: 2004
Publisher: 1071-6572
Journal: null 
Abstract: In this paper, we are going to use the drawings that form the characteristics of the hand palm, as are fold (commonly called lines of the hand), cracks, scars, and even fold of the fingers to verify and identify the persons. We propose a biometric system based on the hand palm image. On this way, a database of 500 hands belonging to 50 users has been built (10 hands by user). It has been studied two different methods for obtaining the parameters of the hand, by measures of textures and by measures of phalanges. The classifier system is a neural network, with back-propagation training algorithm on the Multilayer Perceptron. The found results are over 99% in verification system, and over 98% in identification system
URI: http://hdl.handle.net/10553/44110
ISBN: 0-7803-8506-3
ISSN: 1071-6572
Source: Proceedings - International Carnahan Conference on Security Technology[ISSN 1071-6572], p. 136-139
Appears in Collections:Actas de Congresos

Show full item record

SCOPUSTM   
Citations

12
checked on Nov 16, 2019

WEB OF SCIENCETM
Citations

7
checked on Nov 16, 2019

Page view(s)

13
checked on Nov 16, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.