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Proof-of-Concept of Polar Codes for Biometric Identification and Authentication
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0003-2253-943x
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-0036-9049
2022 (English)In: 2022 IEEE INTERNATIONAL WORKSHOP ON INFORMATION FORENSICS AND SECURITY (WIFS), Institute of Electrical and Electronics Engineers (IEEE) , 2022Conference paper, Published paper (Refereed)
Abstract [en]

In this work, a complete biometrics identification and authentication system considered in [1] is implemented. In the considered system, polar codes are applied and binary symmetric memoryless channels are used for noisy enrollment and observation. The fundamental limits can be achieved with sufficiently long block length for iid binary source sequence. Fingerprints are used as the biometric source and an autoencoder is designed for pre-processing so that images are compressed to nearly uniformly distributed binary sequences with similar correlation and entropy properties to iid binary sequence. The identification and authentication system with generated secret key in [1] is implemented and simulated using pre-processed fingerprints as biometric source and polar code-based design. The proposed system design approach is systematic and flexible in choosing the optimal trade-off. The results show that identification error rates become smaller with longer code length and when the successive cancellation list algorithm is applied. Thus, it is shown by these first promising experiments that polar codes can be used in real identification and authentication systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022.
Series
IEEE International Workshop on Information Forensics and Security, ISSN 2157-4766
Keywords [en]
Autoencoder, Authentication, Binary sequence compression, Biometrics, Identification system, Polar codes
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-324333DOI: 10.1109/WIFS55849.2022.9975472ISI: 000907044000028Scopus ID: 2-s2.0-85145667166OAI: oai:DiVA.org:kth-324333DiVA, id: diva2:1740017
Conference
IEEE International Workshop on Information Forensics and Security (WIFS), DEC 12-16, 2022, ELECTR NETWORK
Note

QC 20230228

Available from: 2023-02-28 Created: 2023-02-28 Last updated: 2023-02-28Bibliographically approved

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Bao, YichengZhou, LinghuiOechtering, Tobias J.

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