Cancelable Biometric Template Generation Using Random Feature Vector Transformations

Cancelable Biometric Template Generation Using Random Feature Vector Transformations

Cancelable biometric schemes are designed to extract an identity-preserving, non-invertible as well as revocable pseudo-identifier from biometric data. Recognition systems need to store only this pseudoidentifier, to avoid tampering and/or stealing of original biometric data during the recognition p...

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Bibliographic Details
Main Authors: Ragendhu S P, Tony Thomas, Sabu Emmanuel
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Template security
cancelable biometrics
random transformations
Online Access:https://ieeexplore.ieee.org/document/10436691/

Internet

https://ieeexplore.ieee.org/document/10436691/

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