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

Santos Sierra, Alberto de and Sánchez Ávila, Carmen and Jara Vera, Vicente (2008). A FUZZY DNA-based Algorithm for identification and authentication in an Iris Detection System. In: "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.

Description

Title: A FUZZY DNA-based Algorithm for identification and authentication in an Iris Detection System
Author/s:
  • Santos Sierra, Alberto de
  • Sánchez Ávila, Carmen
  • Jara Vera, Vicente
Item Type: Presentation at Congress or Conference (Article)
Event Title: 42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology
Event Dates: 13/10/2008-16/10/2008
Event Location: Praga, Republica Checa
Title of Book: Proceedings of 42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology
Date: 2008
ISBN: 978-1-4244-1816-9
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Matemática Aplicada a las Tecnologías de la Información [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 4462
DC Identifier: http://oa.upm.es/4462/
OAI Identifier: oai:oa.upm.es:4462
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4751306
Deposited by: Memoria Investigacion
Deposited on: 05 Oct 2010 09:05
Last Modified: 20 Apr 2016 13:40
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