Open AccessConcealment of iris features based on artificial noises
Author(s) -
Jiao Wenming,
Zhang Heng,
Zang Qiyan,
Xu Weiwei,
Zhang Shuaiwei,
Zhang Jian,
Li Hongran
Publication year - 2019
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.2019-0145
Subject(s) - iris recognition , iris (biosensor) , biometrics , computer science , artificial intelligence , image (mathematics) , computer vision , pattern recognition (psychology) , hash function , gaussian , data mining , computer security , physics , quantum mechanics
Although iris recognition verification is considered to be the safest method of biometric verification, studies have shown that iris features may be illegally used. To protect iris features and further improve the security of iris recognition and verification, this study applies the Gaussian and Laplacian mechanisms and to hide iris features by differentiating privacy. The efficiency of the algorithm and evaluation of the image quality by the image hashing algorithm are selected as indicators to evaluate these mechanisms. The experimental results indicate that the security of an iris image can be significantly improved using differential privacy protection.