Remote Cancelable Biometric System for Verification and Identification Applications

Hatef Otroshi Shahreza*, Amina Bassit, Raymond Veldhuis, Sébastien Marcel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Cancelable biometric schemes protect the privacy of biometric templates by transforming them, with the help of a key, into an irreversible form that can be replaced if compromised. While these schemes provide more advantages in the user-specific key setting, their application with the user-specific key setting is limited in the identification scenario. Alternatively, the application-specific key setting can be used to employ cancelable biometric systems for the identification scenario. However, in an application-specific key setting, cancelable biometric schemes become static with respect to the protected template replacement; if a protected template or the key is compromised, then the replacement of all the protected templates stored within the same application is mandatory. In addition, experimental results show a degradation of performance for the application-specific key setting in cancelable biometric systems. In this paper, we consider a remote recognition protocol based on cancelable biometric schemes in the identification and verification scenarios so that trusted users can generate protected templates and send them to a server. The server can compare the protected query with the protected templates enrolled in the database for recognition. We investigate the user-specific key setting for cancelable biometric schemes for both verification and identification scenarios, which provides those systems with a dynamic replacement of compromised templates. In our experiments, we analyze different cancelable biometric schemes, including BioHashing, Multi-Layer Perceptron (MLP) Hashing, and Index-of-Maximum (IoM) Hashing. We evaluate their performances when applied within our proposed protocol for face recognition and speaker recognition on the IARPA Janus Benchmark C (IJB-C) and NIST-SRE04-16 datasets for user-specific key and application-specific key settings. The source code of all our experiments is publicly available to facilitate the reproducibility of our work.
Original languageEnglish
Title of host publicationIEEE International Conference of the Biometrics Special Interest Group (BIOSIG) 2023
Publication statusPublished - 2023
Event22nd International Conference of the Biometrics Special Interest Group, BIOSIG 2023 - Darmstadt, Germany
Duration: 20 Sept 202322 Sept 2023
Conference number: 22


Conference22nd International Conference of the Biometrics Special Interest Group, BIOSIG 2023
Abbreviated titleBIOSIG


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