Cancelable Biometric Transformations for E-Passport Security
P. Punithavathi1, S. Geetha2
1P. Punithavathi, Department of Computing Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai (Tamil Nadu), India.
2S. Geetha, Department of Computing Science and Engineering, Vellore Institute of Technology Chennai Campus, Chennai (Tamil Nadu), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 342-346 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10641291S319/19©BEIESP | DOI: 10.35940/ijeat.A1064.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: E-Passport or Electronic Passport is comprised of a microprocessor chip which contains biometric data used to authenticate the identity of passport holder. Facial image, fingerprint image and palm-print image are some of the currently standardized biometric modalities, embedded in the E-Passports. The privacy of the biometric data becomes a problem during storage and transmission. The biometric data cannot be revoked or re-issued unlike tokens or passwords, if compromised. The possibility of producing cancelable templates from the biometric features of user has been studied, thus eliminating threats to privacy and security of the biometric features. Cancelable template is obtained from original biometric image after intentional/repeated distortions (based on user-specific key), and thereby providing security to the templates. The distortions can be implemented either at signal or at feature level. The cancelable templates can be revoked or re-issued whenever required just by changing the user-specific key. The probability of applying cancelable transformations to secure the privacy of the biometric features in E-passport has been explored in the article.
Keywords: Biometrics, Cancelable biometrics, E-passport, Template Security, Transformed Template.
Scope of the Article: Aggregation, Integration, and Transformation