A fuzzy DNA-based algorithm for identification and authentication in an Iris Detection System

• Published in: 2008 42nd Annual IEEE International Carnahan Conference on Security Technology pp. 226 - 232
• Main Authors: de Santos Sierra, A., Avila, C.S., Vera, V.J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2008
• Subjects: Authentication; Biometrics; Biometry; Data mining; DNA; DNA Global and Local Alignment; Feature extraction; Fuzzy logic; Fuzzy systems; Identification; Iris; Iris Detection System; Iris Template; Sequences
• ISBN: 142441816X; 9781424418169
• ISSN: 1071-6572
• DOI: 10.1109/CCST.2008.4751306

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.