Topography-Based Detection of the Iris Centre Using Multiple-Resolution Images

Author

Ponz, Victoria ; Villanueva, Arantxa ; Sesma, Laura ; Ariz, Mikel ; Cabeza, Rafael

Author_Institution

Electr. & Electron. Eng. Dept., Public Univ. of Navarra, Pamplona, Spain

fYear

2011

fDate

7-9 Sept. 2011

Firstpage

32

Lastpage

37

Abstract

Low cost iris tracking is one of the most challenging research topics for the eye-tracking community. To this end, accurate detection of the iris centre in images captured by a web cam is a major goal. We propose a novel method for iris detection that is based on image topography using multi-resolution to detect the most stable "valley" over different resolutions, which is assumed to be the iris centre. Our algorithm was tested using the BioID database obtaining the best average behavior. Our algorithm functions in real time and does not require complex post processing stages.

Keywords

gaze tracking; image resolution; iris recognition; BioID database; Web cam; eye-tracking community; image topography; iris centre; iris detection; multiple-resolution images; topography-based detection; Biomedical imaging; Databases; Eyebrows; Face; Image resolution; Iris; Surfaces; eye tracking; image topography; iris detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing Conference (IMVIP), 2011 Irish

Conference_Location

Dublin

Print_ISBN

978-1-4673-0230-2

Type

conf

DOI

10.1109/IMVIP.2011.15

Filename

6167877