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Published in:
2013 | OriginalPaper | Chapter
Identification Using Encrypted Biometrics
Authors : Mohammad Haghighat, Saman Zonouz, Mohamed Abdel-Mottaleb
Published in: Computer Analysis of Images and Patterns
Publisher: Springer Berlin Heidelberg
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Biometric identification is a challenging subject among computer vision scientists. The idea of substituting biometrics for passwords has become more attractive after powerful identification algorithms have emerged. However, in this regard, the confidentiality of the biometric data becomes of a serious concern. Biometric data needs to be securely stored and processed to guarantee that the user privacy and confidentiality is preserved. In this paper, a method for biometric identification using encrypted biometrics is presented, where a method of search over encrypted data is applied to manage the identification. Our experiments of facial identification demonstrate the effective performance of the system with a proven zero information leakage.