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Sensors 2018, 18(8), 2601; https://doi.org/10.3390/s18082601

Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor

Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea
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Received: 20 July 2018 / Revised: 2 August 2018 / Accepted: 5 August 2018 / Published: 8 August 2018
(This article belongs to the Special Issue Deep Learning-Based Image Sensors)
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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. View Full-Text
Keywords: iris recognition; presentation attack detection; deep learning; support vector machines; NIR camera sensor iris recognition; presentation attack detection; deep learning; support vector machines; NIR camera sensor
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Nguyen, D.T.; Pham, T.D.; Lee, Y.W.; Park, K.R. Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor. Sensors 2018, 18, 2601.

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