Abstract
Iris recognition systems have been used in high-security-level applications because of their high recognition rate and the distinctiveness of iris patterns. However, as reported by recent studies, an iris recognition system can be fooled by the use of artificial iris patterns and lead to a reduction in its security level. The accuracies of previous presentation attack detection research are limited because they used only features extracted from global iris region image. To overcome this problem, we propose a new presentation attack detection method for iris recognition by combining features extracted from both local and global iris regions, using convolutional neural networks and support vector machines based on a near-infrared (NIR) light camera sensor. The detection results using each kind of image features are fused, based on two fusion methods of feature level and score level to enhance the detection ability of each kind of image features. Through extensive experiments using two popular public datasets (LivDet-Iris-2017 Warsaw and Notre Dame Contact Lens Detection 2015) and their fusion, we validate the efficiency of our proposed method by providing smaller detection errors than those produced by previous studies.
Highlights
With the development of digital technology, people are creating and managing huge amounts of information, including both public and private information, using digital systems such as computers, mobile phones, bank and government management systems, and the internet
We focused on enhancing the detection performance of an iPAD system by combining image features extracted from both local and global regions of iris image by the convolutional neural network (CNN) method
As shown in our experimental results, the detection results produced by the test-unknown dataset were very small and close to zero using our approach. Based on this detection error, we demonstrated that our proposed approach produced very high detection performance using the Warsaw-2017 dataset, and the fusion of gray and Retinex images was sufficient for the iPAD
Summary
With the development of digital technology, people are creating and managing huge amounts of information, including both public and private information, using digital systems such as computers, mobile phones, bank and government management systems, and the internet. For the knowledge-based method, each user must create a password and remember it to access a specific information resource. The token-based method provides a key/card in which the identification information of a user is stored for accessing information resources. These methods incur user inconvenience in that users must remember a password for each application system or carry their key/card to access the information resources
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