Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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42nd Annual 2008 IEEE International Carnahan Coonference on SEcurity Technology |
Tipo de participación
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960 |
Lugar del congreso
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Praga |
Revisores
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No |
ISBN o ISSN
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978-1-4244-1816-9 |
DOI
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Fecha inicio congreso
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13/10/2008 |
Fecha fin congreso
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16/10/2008 |
Desde la página
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226 |
Hasta la página
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232 |
Título de las actas
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IEEE xplore digital librari |