NDLI: Cancellable fuzzy vault with periodic transformation for biometric template protection

Content Provider	IET Digital Library
Author	Dang, Tran Khanh Truong, Quynh Chi Le, Thu Thi Bao Truong, Hai
Abstract	Nowadays, biometrics-based authentication is playing a potential approach for many modern applications such as banking, homeland security etc. However, the end-users may feel uncomfortable to deploy this technology because of not well-solved accurate rate and security problems. To overcome these issues, some significant techniques have been proposed such as biometric template protection, reducing biometric extraction noise etc. Fuzzy vault is one of the most popular methods for biometric template security, which binds a secret key with biometric features and produces one kind of data, called the helper data, for recovering the secret key. Unfortunately, the major drawback of this approach is the lacking of cancellable property. Furthermore, most of the fuzzy vault schemes are performed on two biometrics modalities: fingerprints and iris. Some techniques were introduced to transform the original biometric feature to cancellable one. However, the computational cost of these proposals was quite large. In this research, the authors introduce a periodic transformation attached to fuzzy vault to produce the new cancellable scheme. Their transformation is not only simpler but also suitable for many kinds of biometrics modalities. The experiments demonstrate that this approach is practical with a little better error rate in comparison with the original biometric feature.
Starting Page	229
Ending Page	235
Page Count	7
ISSN	20474938
Volume Number	5
e-ISSN	20474946
Issue Number	Issue 3, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/5/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2015.0029
Journal	IET Biometrics
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biometric Extraction Biometric Template Protection Biometrics-based Authentication Combinatorial Mathematics Computer Vision And Image Processing Technique Data Protection Data Security Feature Extraction Fingerprint Identification Fingerprint Modality Fuzzy Set Theory Fuzzy Vault Scheme Image Recognition Iris Modality Iris Recognition Message Authentication Periodic Transformation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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