A FUZZY DNA-based Algorithm for identification and authentication in an Iris Detection System

Santos Sierra, Alberto de; Sánchez Ávila, Carmen y Jara Vera, Vicente (2008). A FUZZY DNA-based Algorithm for identification and authentication in an Iris Detection System. En: "42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology", 13/10/2008-16/10/2008, Praga, Republica Checa. ISBN 978-1-4244-1816-9. pp. 226-232.

Descripción

Título: A FUZZY DNA-based Algorithm for identification and authentication in an Iris Detection System
Autor/es:
  • Santos Sierra, Alberto de
  • Sánchez Ávila, Carmen
  • Jara Vera, Vicente
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology
Fechas del Evento: 13/10/2008-16/10/2008
Lugar del Evento: Praga, Republica Checa
Título del Libro: Proceedings of 42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology
Fecha: 2008
ISBN: 978-1-4244-1816-9
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Matemática Aplicada a las Tecnologías de la Información [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Several algorithms have been proposed in order to identify or authenticate a certain user in an iris detection system. These previous algorithms are based on different transforms applied to a certain features extracted from the iris, known as iris template. However, this new approach aims to identify and/or authenticate a user avoiding transforms, comparing directly the Iris templates instead. Based on ideas inherited from DNA alignment algorithms and fuzzy logic, this new algorithm attains a better result in deciding whether two templates belong to the same user, when being compared to previous algorithms. Furthermore, this new algorithm allows a partial comparison between the whole template stored in a database, and a portion of template, decreasing the accessing time. As a result, not only false acceptance rate (FAR) and false rejection rate (FRR) but also time in identifying and authenticating are highly decreased compared to current algorithms and furthermore its flexibility in a local comparison makes of it a promising algorithm in not only an iris detection system, but in any biometric system.

Más información

ID de Registro: 4462
Identificador DC: http://oa.upm.es/4462/
Identificador OAI: oai:oa.upm.es:4462
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4751306
Depositado por: Memoria Investigacion
Depositado el: 05 Oct 2010 09:05
Ultima Modificación: 20 Abr 2016 13:40
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