Robust extraction of eyes from face

Author

Kawaguchi, Tsuyoshi ; Hidaka, D. ; Rizon, Mohamed

Author_Institution

Dept. of Comput. Sci. & Intelligent Syst., Oita Univ., Japan

Volume

1

fYear

2000

fDate

2000

Firstpage

1109

Abstract

In this paper we propose a new algorithm to detect the irises of both eyes from a human face in an intensity image. Using the separability filter proposed by Fukui et al. (1997), the algorithm first extracts intensity valleys, which we call blobs in this paper, as the candidates for the irises. Next, for each pair of blobs, the algorithm computes a cost using Hough transform and separability filter to measure the fit of the pair of blobs to the image. And then, the algorithm selects a pair of blobs with the smallest cost as the irises of both eyes. As the result of the experiment using all faces without spectacles in the face database of the University of Bern, the success rate of the proposed algorithm was 96.5% on average

Keywords

Hough transforms; eye; face recognition; feature extraction; filtering theory; Hough transform; blobs; eyes; face; intensity image; intensity valleys; iris detection; robust extraction; separability filter; Computer science; Costs; Eyes; Face detection; Face recognition; Head; Humans; Image databases; Robustness; Waveguide discontinuities;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.905666

Filename

905666