Direct biometric verification schemes with Gaussian data

Author

Balakirsky, Vladimir B. ; Vinck, A. J Han

Author_Institution

Inst. for Exp. Math., Univ. of Duisburg-Essen, Essen, Germany

fYear

2010

fDate

17-20 Oct. 2010

Firstpage

48

Lastpage

53

Abstract

Verification of the person´s identity using the database, which contains outcomes of his biometric measurements, is considered. The verification algorithm is proposed and its performance is evaluated with the assumption that the input data represent the vector of values of a random variable generated according to the Gaussian probability distribution and observed under an additive white Gaussian noise. The evaluation of the false acceptance rate includes an analysis of the possibilities of attackers, called wolves, who generate fixed vectors that have the best chance for the verifier´s acceptance decision when the biometrics of the person is unknown.

Keywords

Gaussian distribution; Gaussian noise; biometrics (access control); data communication; white noise; Gaussian data; Gaussian probability distribution; direct biometric verification scheme; false acceptance rate; random variable generation; verification algorithm; verifier acceptance decision; white Gaussian noise; wolves; Algorithm design and analysis; Biological system modeling; Data models; Databases; Noise measurement; Probability density function; Random variables;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory and its Applications (ISITA), 2010 International Symposium on

Conference_Location

Taichung

Print_ISBN

978-1-4244-6016-8

Electronic_ISBN

978-1-4244-6017-5

Type

conf

DOI

10.1109/ISITA.2010.5654421

Filename

5654421