An enhanced fuzzy vault to secure the fingerprint templates

An enhanced fuzzy vault to secure the fingerprint templates

Fingerprint-based biometric systems have significant advantages over the conventional authentication systems, which are based on passwords and tokens. However, these systems are needed to combat the increasing magnitude of identity theft of users enrolled in a fingerprint-based biometric system beca...

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Bibliographic Details
Published in:Multimedia tools and applications Vol. 80; no. 21-23; pp. 33055 - 33073
Main Authors: Baghel, Vivek Singh, Prakash, Surya, Agrawal, Ity
Format: Journal Article
Language:English
Published: New York Springer US 01-09-2021
Springer Nature B.V
Subjects:
Biometrics
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Fingerprint verification
Fingerprinting
Identity theft
Image reconstruction
Multimedia Information Systems
Principal components analysis
Special Purpose and Application-Based Systems
Theft
Biometrics
Fingerprint template protection
Biometric cryptosystems
PCA
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Summary:Fingerprint-based biometric systems have significant advantages over the conventional authentication systems, which are based on passwords and tokens. However, these systems are needed to combat the increasing magnitude of identity theft of users enrolled in a fingerprint-based biometric system because the fingerprint information of a user cannot be changed if it is compromised. Moreover, it has been demonstrated in the literature that a fingerprint image can be reconstructed if the information of minutiae points is available. In this paper, a fuzzy vault based technique is proposed to prevent identity theft and secure the fingerprint information (essentially, minutiae points) stored in the database. We propose a novel technique to filter the genuine vault points from a combination of genuine and chaff points used in the fuzzy vault technique. Since minutiae points are used to construct the vault, it is a challenging task to align probe and gallery images during verification. In order to do that, a Principal Component Analysis (PCA) based alignment technique is also proposed to align the gallery and probe templates. The proposed technique is evaluated on three different Fingerprint Verification Competition (FVC) databases that come under the FVC2002 and FVC2004. Subsequently, the obtained results are compared with that of the recent existing techniques in the literature and are found to be superior in terms of the Genuine Acceptance Rate (GAR), False Acceptance Rate (FAR), and Equal Error Rate (EER).
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-021-11325-w