Feature Extraction of Iris Images using ICA for Person Authentication

Author

Talbar, Sanjay N. ; Bodade, R.M.

Author_Institution

S.G.G.S. Inst. of Eng. & Technol., Nanded, India

fYear

2007

fDate

24-27 Nov. 2007

Firstpage

1055

Lastpage

1058

Abstract

This paper describes the Iris based authentication system using the Independent Component Analysis (ICA). In this paper, a customized iris extraction algorithm has been applied directly on the unfiltered grayscale image. The polar coordinate system has been used by the researchers for iris processing. Instead, an algorithm based on intrinsic coordinate system has been proposed to save on computation with satisfactory results. ICA has been used very successfully in face recognition. The proposed algorithm of ICA has been tested on "UBIRIS Iris Database of noisy and noise free images" of average iris visibility and the results showed the accuracy of identification more than 83% with excellent processing speed.

Keywords

authorisation; biometrics (access control); feature extraction; image recognition; independent component analysis; ICA; face recognition; feature extraction; independent component analysis; iris images; person authentication; unfiltered grayscale image; Authentication; Biomedical signal processing; Face recognition; Feature extraction; Image databases; Independent component analysis; Iris; Principal component analysis; Signal processing algorithms; Vectors; Biometrics Identification; ICA; Iris Authentication; Iris localization; noisy iris;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on

Conference_Location

Dubai

Print_ISBN

978-1-4244-1235-8

Electronic_ISBN

978-1-4244-1236-5

Type

conf

DOI

10.1109/ICSPC.2007.4728504

Filename

4728504