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Cancelable Biometrics: a comprehensive survey

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Abstract

Biometric recognition is a challenging research field but suffers from privacy and security concerns. To address this concern, Cancelable Biometrics is suggested in literature in which a Biometric image of a sample is distorted or transformed in such a manner that it becomes difficult to obtain the original Biometric image from the distorted one. Another important characteristic of Cancelable Biometrics is that it can be reissued if compromised. In this research paper, we present a comprehensive survey of more than 120 techniques suggested by various researchers from time to time for Cancelable Biometrics and a novel taxonomy for the same is developed. Further, various performance measures used in Cancelable Biometrics are reviewed and their mathematical formulations are given. Cancelable Biometrics also suffer from various security attacks as given in literature. A review of these security attacks is carried out. We have also performed a review of databases used in literature for nine different Cancelable Biometrics viz. Face, Iris, Speech, Fingerprint, Signature, Palmprint, ECG, Palmvein and Fingervein. Lastly, we have also given future research directions in this field. This study shall be useful for the researchers and practitioners working in this fascinating research area.

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Acknowledgements

One of the authors Dr. Nitin Kumar is thankful to Uttarakhand State Council of Science and Technology, Dehradun, India for providing financial assistance towards the implementation of Project Sanction No. UCS&T/R&D-05/18-19/15202.

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  1. Department of Computer Science and Engineering, National Institute of Technology, Uttarakhand, Srinagar, India

    Manisha & Nitin Kumar

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Manisha, Kumar, N. Cancelable Biometrics: a comprehensive survey. Artif Intell Rev 53, 3403–3446 (2020). https://doi.org/10.1007/s10462-019-09767-8

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