Iris Recognition Using Discrete Wavelet Transform

Author

Birgale, Lenina Vithalrao ; Kokare, Manesh

Author_Institution

Dept. of Electron. & Commun. Eng., ICFAI Univ., Hyderabad, India

fYear

2009

fDate

7-9 March 2009

Firstpage

147

Lastpage

151

Abstract

We propose a novel approach for improved iris recognition system with reduced false acceptance rate (FAR) and false rejection rate (FRR). The technique developed here uses all the frequency resolution planes of discrete wavelet transform (DWT). These frequency planes provide abundant texture information present in an iris at different resolutions. The accuracy is improved up to 98.98%. With proposed method FAR and FRR is reduced up to 0.0071% and 1.0439% respectively.

Keywords

biometrics (access control); computational geometry; discrete wavelet transforms; image recognition; image resolution; image texture; DWT; Euclidean distance metric; FAR reduction; FRR reduction; discrete wavelet transform; false acceptance rate; false rejection rate; frequency resolution plane; iris recognition system; texture information resolution; Biometrics; Discrete wavelet transforms; Face recognition; Fingerprint recognition; Frequency; Image databases; Iris recognition; Pattern recognition; Speech recognition; Wavelet analysis; Biometrics; Euclidian distance; FAR; FRR; database; features; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Image Processing, 2009 International Conference on

Conference_Location

Bangkok

Print_ISBN

978-0-7695-3565-4

Type

conf

DOI

10.1109/ICDIP.2009.30

Filename

5190534