Iris recognition system using combined histogram statistics

Author

Demirel, Hasan ; Anbarjafari, Gholamreza

Author_Institution

Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Famagusta

fYear

2008

fDate

27-29 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

This paper proposes a novel iris recognition system based on matching colour pixel statistics. The proposed system uses colour histograms as pixel statistic feature vectors for recognition of irises by cross correlation between the histogram of a given iris and the histograms of irises in the database. Majority voting (MV) has been applied to achieve the final recognition. Iris images taken from the UPOL are pre-processed and segmented. The proposed system gives a100% recognition rate on 64 iris images. The reliability of the proposed system is demonstrated by providing FRR and FAR curves with 0.00% EER.

Keywords

image colour analysis; image recognition; statistical analysis; colour histogram; colour pixel statistics; cross correlation; iris recognition; majority voting; pixel statistic feature vector; Biometrics; Feature extraction; Gabor filters; Histograms; Image databases; Image segmentation; Iris recognition; Pixel; Statistics; Waveguide discontinuities;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Sciences, 2008. ISCIS '08. 23rd International Symposium on

Conference_Location

Istanbul

Print_ISBN

978-1-4244-2880-9

Electronic_ISBN

978-1-4244-2881-6

Type

conf

DOI

10.1109/ISCIS.2008.4717879

Filename

4717879