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Sensors 2019, 19(2), 410; https://doi.org/10.3390/s19020410

Visible-Light Camera Sensor-Based Presentation Attack Detection for Face Recognition by Combining Spatial and Temporal Information

Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildong-ro 1-gil, Jung-gu, Seoul 100-715, Korea
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Received: 17 December 2018 / Revised: 9 January 2019 / Accepted: 17 January 2019 / Published: 20 January 2019
(This article belongs to the Special Issue Deep Learning-Based Image Sensors)
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Abstract

Face-based biometric recognition systems that can recognize human faces are widely employed in places such as airports, immigration offices, and companies, and applications such as mobile phones. However, the security of this recognition method can be compromised by attackers (unauthorized persons), who might bypass the recognition system using artificial facial images. In addition, most previous studies on face presentation attack detection have only utilized spatial information. To address this problem, we propose a visible-light camera sensor-based presentation attack detection that is based on both spatial and temporal information, using the deep features extracted by a stacked convolutional neural network (CNN)-recurrent neural network (RNN) along with handcrafted features. Through experiments using two public datasets, we demonstrate that the temporal information is sufficient for detecting attacks using face images. In addition, it is established that the handcrafted image features efficiently enhance the detection performance of deep features, and the proposed method outperforms previous methods. View Full-Text
Keywords: visible-light camera sensor-based presentation attack detection; face recognition; spatial and temporal information; stacked convolutional neural network (CNN)-recurrent neural network (RNN); handcrafted features visible-light camera sensor-based presentation attack detection; face recognition; spatial and temporal information; stacked convolutional neural network (CNN)-recurrent neural network (RNN); handcrafted features
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Nguyen, D.T.; Pham, T.D.; Lee, M.B.; Park, K.R. Visible-Light Camera Sensor-Based Presentation Attack Detection for Face Recognition by Combining Spatial and Temporal Information. Sensors 2019, 19, 410.

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