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Memorias de investigación
Communications at congresses:
A FUZZY DNA-based Algorithm for identification and authentication in an Iris Detection System
Year:2008
Research Areas
  • Electronics engineering
Information
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.
International
Si
Congress
42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology
960
Place
Praga
Reviewers
No
ISBN/ISSN
978-1-4244-1816-9
Start Date
13/10/2008
End Date
16/10/2008
From page
226
To page
232
IEEE xplore digital librari
Participants
  • AUTOR: VICENTE JARA VERA (UPM)
  • Autor: Maria del Carmen Sanchez Avila (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Matemática Aplicada a las Tecnologías de la Información
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