Concealment of iris features based on artificial noises. Issue 5 (1st October 2019)

• Record Type: Journal Article
• Authors: Jiao, Wenming; Zhang, Heng; Zang, Qiyan; Xu, Weiwei; Zhang, Shuaiwei; Zhang, Jian; Li, Hongran
• Is Part Of: ETRI journal. Volume 41:Issue 5(2019)
• Page Start: 599
• Page End: 607
• Publication Date: 2019-10-01
• Subjects: differential privacy -- hash algorithm -- iris features -- noise mechanism -- similarity comparison; Telecommunication -- Periodicals; Electronics -- Periodicals; Electronics; Telecommunication; Periodicals; Periodicals; 621.38205
• DOI: 10.4218/etrij.2019-0145
• Languages: English
• ISSNs: 1225-6463

Abstract

Abstract : 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.