Cancelable Permutation-Based Indexing for Secure and Efficient Biometric Identification

Cancelable Permutation-Based Indexing for Secure and Efficient Biometric Identification

Cancelable biometric schemes have been widely studied to protect templates in biometric authentication over networks. These schemes transform biometric features and perform pattern matching without restoring the original features. Although they strongly prevent the leakage of the original features,...

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Bibliographic Details
Main Authors: Takao Murakami, Ryo Fujita, Tetsushi Ohki, Yosuke Kaga, Masakazu Fujio, Kenta Takahashi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biometrics
cancelable biometrics
GAN
perfect secrecy
permutation-based indexing
Online Access:https://ieeexplore.ieee.org/document/8679987/

Internet

https://ieeexplore.ieee.org/document/8679987/

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