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Cancelable Biometrics Using Hadamard Transform and Friendly Random Projections

  • Harkeerat Kaur
  • Pritee Khanna
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)

Abstract

Biometrics based authentication increases robustness and security of a system, but at the same time biometric data of a user is subjected to various security and privacy issues. Biometric data is permanently associated to a user and cannot be revoked or changed unlike conventional PINs/passwords in case of thefts. Cancelable biometrics is a recent approach which aims to provide high security and privacy to biometric templates as well as imparting them with the ability to be canceled like passwords. The work proposes a novel cancelable biometric template protection algorithm based on Hadamard transform and friendly random projections using Achlioptas matrices followed by a one way modulus hashing. The approach is tested on face and palmprint biometric modalities. A thorough analysis is performed to study performance, non-invertibility, and distinctiveness of the proposed approach which reveals that the generated templates are non-invertible, easy to revoke, and also deliver good performance.

Keywords

Cancelable biometrics Hadamard transform Random projections Non-invertible 

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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  1. 1.PDPM Indian Institute of Information TechnologyDesign and ManufacturingJabalpurIndia

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