Research on Face Image Encryption Based on Deep Learning

Content Provider	Scilit
Author	Qin, Yanyan Zhang, Chennan Liang, Rui Chen, Mingrui
Copyright Year	2019
Description	Journal: Iop Conference Series: Earth and Environmental Science With the development of artificial intelligence and big data technology, the requirements for information security are increasing, and the role of biometrics in network security and information security authentication has also increased. Face recognition technology has been widely applied in many Internet payment platforms. This paper proposes a face recognition algorithm based on improved deep network automatic extraction feature, which can extract the discriminative features of the target more accurately and encrypt the face image to ensure the privacy and security of face recognition. In this paper, an automatic deep feature extractor is generated by preprocessing and fine-tuning, and then the hyperchaotic image is encrypted. Several common face databases are used to test in this algorithm and this results show that the algorithm has more availability than the traditional and general deep learning methods in terms of performance.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052007/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/252/5/052007
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	5
Volume Number	252
Language	English
Publisher	IOP Publishing
Publisher Date	2019-04-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Industrial Engineering Information Security Face Recognition Face Image Deep Learning
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science