A fast and efficient multiple step algorithm of iris image quality assessment

Author

Shi, Chunlei ; Jin, Longxu

Author_Institution

Inst. of Opt., Fine Mech. & Phys., Grad. Sch. of Chinese Acad. of Sci., Changchun, China

Volume

2

fYear

2010

fDate

21-24 May 2010

Abstract

Iris recognition is one of the most reliable methods of biometrics personal identification. Poor quality iris image will be rejected by recognition system, which will result in the failure of recognition. Therefore iris image quality assessment is very essential to the iris recognition system. In this paper, a multiple step algorithm of iris image quality assessment is proposed to distinguish two kinds of poor quality images, i.e. defocus and occlusion. Experimental results show that the proposed algorithm is fast and efficient for iris image quality assessment.

Keywords

iris recognition; biometrics personal identification; iris image quality assessment; iris recognition system; multiple step algorithm; poor quality images; poor quality iris image; Biomedical optical imaging; Biometrics; Frequency; Image databases; Image quality; Image recognition; Image sequences; Iris recognition; Least squares methods; Physics; Laplacian of Gaussian; iris image; iris localization; occlusion; quality assessment;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication (ICFCC), 2010 2nd International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5821-9

Type

conf

DOI

10.1109/ICFCC.2010.5497537

Filename

5497537