NDLI: Face template protection using deep LDPC codes learning

Content Provider	IET Digital Library
Author	Chen, Lingying Zhao, Guanghui Zhou, Junwei Ho, Anthony T. S. Cheng, Lee Ming
Abstract	There is a noticeable tendency to apply deep convolutional neural network (CNN) in facial identification, since it is able to boost performance in face recognition and verification. However, due to the users have unique facial, exposure of face template to adversaries can severely compromise system security and users’ privacy. Here, the authors propose a face template protection technique by using multi-label learning, which maps the facials into low-density parity-check (LDPC) codes. Firstly, a random binary sequence is generated to represent a user and further hashed to produce the protected template. During the training, the random binary sequences are encoded by an LDPC encoder to produce diverse binary codes. Based on carefully designed deep multi-label learning, the facial features of each user are mapped to a diverse binary code. In the process of recognition and verification, the deep CNN mapping architecture is modelled as a Gaussian channel, while the noise brought by intra-variations in the outputs of CNN can be removed by the LDPC decoder. Thus, a robust face template protection scheme is achieved. The simulation results on PIE and extended Yale B indicate that the proposed scheme achieves high genuine accept rate at 1% false accept rate.
Starting Page	190
Ending Page	197
Page Count	8
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5156
Journal	IET Biometrics
Publisher Date	2018-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Binary Codes Biomimetics Carefully Designed Deep Multilabel Learning Computer Vision And Image Processing Technique Data Security Deep CNN Mapping Architecture Deep Convolutional Neural Network Deep LDPC Codes Diverse Binary Code Face Recognition Face Template Protection Technique Facial Feature Facial Identification Image Recognition Knowledge Engineering Technique LDPC Decoder LDPC Encoder Learning in AI Low-density Parity-check Code Neural Computing Technique Neural Nets Noticeable Tendency Parity Check Code Protected Template Random Binary Sequence Robust Face Template Protection Scheme System Security Verification
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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