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Fake Iris Detection: A Holistic Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 19 - Number 2 |
| Year of Publication: 2011 |
| Authors: Rajesh Bodade, Sanjay Talbar |
10.5120/2337-3047
|
Rajesh Bodade, Sanjay Talbar . Fake Iris Detection: A Holistic Approach. International Journal of Computer Applications. 19, 2 ( April 2011), 1-7. DOI=10.5120/2337-3047
Abstract
There is tremendous interest in improved methods of reliable and secure identification of people using biometrics. Although, iris is believed to allow very high accuracy, various experiments showed an alarming lack of anti-spoofing mechanisms in devices already protecting many sensitive areas all over the world. This enforces the need for aliveness detection methodology to be quickly introduced. In this paper, all possible types of fake iris has been identified. Previously published work in this field had concentrated only either on active or passive methods for fake iris detection. This has visible shortcomings of detecting only specific types of fake irises corresponding to each method and not of all kinds. This paper proposes a composite method, with promising results, to overcome the shortcomings of existing methods. The FAR and FRR values of the proposed method on realistic database of 160 images are 0.625% and 0.625% respectively. A notable achievement of this work is development of robust iris segmentation algorithm having inherent capability of fake iris detection.
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