|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:||Proceedings - International Carnahan Conference on Security Technology||Conference:||38th Annual International Carnahan Conference on Security Technology
Proceedings - IEEE 38th Annual 2004 International Carnahan Conference on Security Technology
|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|
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