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John Daugman

Richard P. Wildes

Iridian

CASIA

Biometric Institute

Libor Masek

IriTech Inc

Adam Czajka

LG

Panasonic

OKI

Iris Recognition Homepage

Iridology

University of Bath Iris Image Database

Multimedia University

 

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 MMU1 Iris Database

 MMU2 Iris Database (NEW)

Source Code: VB.net and JAVA (release soon)

 

IRIS RECOGNITION

The latest threats of security have led to the increased awareness of biometric technologies. Iris recognition is one of the most secure biometric approach as it is non-invasive and stable throughout life. Moreover, it does not require physical contact with the camera. In this way, the hygienic issue is minimized. Generally, there are four major processes for a particular iris recognition system. They are image acquisition, iris-preprocessing, feature extraction and matching.

MMU1 iris database contributes a total number of 450 iris images which were taken using LG IrisAccess®2200. This camera is semi-automated and it operates at the range of 7-25 cm. On the other hand, MMU2 iris database consists of 995 iris images. The iris images are collected using Panasonic BM-ET100US Authenticam and its operating range is even farther with a distance of 47-53 cm away from the user. These iris images are contributed by 100 volunteers with different age and nationality. They come from Asia, Middle East, Africa and Europe. Each of them contributes 5 iris images for each eye. There are 5 left eye iris images which are excluded from the database due to cataract disease. Due to some privacy issue, any one who interests on this database should email a particular name, institution and country to the administrators

SAMPLE OF IRIS LOCALIZATION

                                                                                                                                       

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