Application of Genetic Algorithms to Improve the Reliability of an Iris Recognition System

Author

Pereira, Milena Bueno ; Veiga, Antônio Cláudio Paschoarelli

Author_Institution

Fac. of Electr. Eng., Fed. Univ. of Uberlandia

fYear

2005

fDate

28-28 Sept. 2005

Firstpage

159

Lastpage

164

Abstract

In this paper, it is applied the basis of genetic algorithms to develop a technique to improve the performance of an iris recognition system. The proposed technique uses the principle of the method proposed by Daugman (1993, 2002) to normalize the iris region. Daugman used a rectangular representation of the iris generated from a uniform selection of points along the whole extension of the iris. This paper introduces the idea that if the points were selected non-uniformly over the iris region it is possible to find a distribution of points which makes the system more reliable. The genetic algorithms are used to find a distribution of points which leads the system to a better result. Some simulations of the process are described and the experimental results are shown in the end

Keywords

biometrics (access control); eye; genetic algorithms; image recognition; image representation; genetic algorithms; iris recognition system reliability; iris rectangular representation; iris region normalization; Automatic speech recognition; Character recognition; Electronic mail; Face recognition; Fingerprint recognition; Genetic algorithms; Image coding; Iris recognition; Speech recognition; Waveguide discontinuities;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning for Signal Processing, 2005 IEEE Workshop on

Conference_Location

Mystic, CT

Print_ISBN

0-7803-9517-4

Type

conf

DOI

10.1109/MLSP.2005.1532892

Filename

1532892