Biometric personal identification based on iris recognition using complex wavelet transforms

Author

Hariprasath, S. ; Mohan, V.

Author_Institution

Saranathan Coll. of Eng., Trichinopoly

fYear

2008

fDate

18-20 Dec. 2008

Firstpage

1

Lastpage

5

Abstract

A new iris recognition system based on complex wavelet Transforms is described. In this work iris recognition based on Gabor wavelet and Morlet wavelet are described. The most unique phenotypic feature visible in a person´s face is the detailed texture of each eye´s iris. The visible texture of a person´s iris is encoded into a compact sequence of 2-D wavelet coefficients, which generate an ldquoiris coderdquo of 4096-bits. The statistical parameters like mean and covariance of coefficients of the iris images are also computed. Two different iris codes are compared using exclusively OR comparisons. Also the new iris pattern is compared against the stored pattern after computing the probability of new iris pattern and identification is performed.

Keywords

biometrics (access control); covariance analysis; feature extraction; image coding; image recognition; image sequences; image texture; wavelet transforms; 2D wavelet coefficient sequence; Gabor wavelet; Morlet wavelet; biometric personal identification; coefficient covariance; complex wavelet transform; feature extraction; image texture; iris encoding; iris recognition system; probability; statistical parameter; Biometrics; Biopsy; Breast cancer; Breast neoplasms; Cancer detection; Iris recognition; Mammography; Ultrasonic imaging; Ultrasonography; Wavelet transforms; Biometrics; Gobar wavelet; Iris pattern; Morlet wavelet; Statistical model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication and Networking, 2008. ICCCn 2008. International Conference on

Conference_Location

St. Thomas, VI

Print_ISBN

978-1-4244-3594-4

Electronic_ISBN

978-1-4244-3595-1

Type

conf

DOI

10.1109/ICCCNET.2008.4787736

Filename

4787736