Generating cancellable fingerprint templates based on Delaunay triangle feature set construction

Sandhya, Mulagala; Prasad, Munaga V. N. K.; Chillarige, Raghavendra Rao

doi:10.1049/iet-bmt.2015.0034

Cited by 58 publications

(29 citation statements)

References 25 publications

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“…e left side of equation (5) consists of the known values. So, the values obtained from the template of each database are calculated by using the left side of equation (5) and compared to determine whether the user is the same user.…”

Section: Security and Communication Networkmentioning

confidence: 99%

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On the Unlinkability of Fingerprint Shell

Lee

Jeong

2020

Security and Communication Networks

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To prevent the leakage of original biometric information of a user, it may be transformed into a cancelable form. A cancelable biometric transformation should satisfy four requirements: unlinkability, revocability, noninvertibility, and performance. In 2014, Moujahdi et al. proposed a new cancelable fingerprint transformation called fingerprint shell, which was also later discussed by Ali et al. In this paper, we show that all of the shell fingerprint schemes presented by Moujahdi et al. and Ali et al. do not satisfy the condition of unlinkability.

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Section: Security and Communication Networkmentioning

confidence: 99%

“…According to the property of transformation functions, feature transformation can be classified two ways: noninvertible transformation [3,4] and salting [5,6]. e noninvertible transformation applies a one-way function such as a hash function to the original biometric information.…”

Section: Introductionmentioning

confidence: 99%

On the Unlinkability of Fingerprint Shell

Lee

Jeong

2020

Security and Communication Networks

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“…that it is computationally impossible to reconstruct the original biometrics from the transformed template. For the security analysis, [13] assume that the adversary attacks the feature set scenario. In [13], they have used three sides of Delaunay triangle to make a feature set.…”

Section: Security Noninvertibility Of Cancelable Template Ensuresmentioning

confidence: 99%

“…For the security analysis, [13] assume that the adversary attacks the feature set scenario. In [13], they have used three sides of Delaunay triangle to make a feature set. The triangles in the Delaunay triangulation net are adjacent to each other.…”

Section: Security Noninvertibility Of Cancelable Template Ensuresmentioning

confidence: 99%

A Cancelable Template for the Low-Quality Fingerprints from Wearable Devices

Lee

Jeong

2019

Security and Communication Networks

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Biometric authentication in wearable devices is different from the common biometric authentication systems. First of all, sensitive information such as fingerprint and iris of a user is stored in a wearable device owned by the user rather than being stored in a remote database. Wearable devices are portable, and there is a risk that the devices might be lost or stolen. In addition, the quality of the extracted image from the wearable devices is lower than that of the common biometric acquisition sensor. In the paper, we propose a novel cancelable fingerprint template which is irreversible to the original biometrics and has excellent accuracy even in low quality images.

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“…Consequently, there has been quite some resistance in the past against centralized storage and processing of biometric data for commercial systems [28]. However, recent achievements in the area of biometric transforms [29,33,40,45] pave the road for more secure sharing of biometric data. These techniques provide raw data protection through application of non-invertible transformations.…”

Section: Introductionmentioning

confidence: 99%

Metadata filtering for user-friendly centralized biometric authentication

Gehrmann

Rodan

Jonsson

2019

EURASIP J. on Info. Security

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While biometric authentication for commercial use so far mainly has been used for local device unlock use cases, there are great opportunities for using it also for central authentication such as for remote login. However, many current biometric sensors like for instance mobile fingerprint sensors have too large false acceptance rate (FAR) not allowing them, for security reasons, to be used in larger user group for central identification purposes. A straightforward way to avoid this FAR problem is to either request a user unique identifier such as a device identifier or require the user to enter a unique user ID prior to making the biometric matching. Usage of a device identifier does not work when a user desires to authenticate on a previously unused device of a generic type. Furthermore, requiring the user at each login occasion to enter a unique user ID, is not at all user-friendly. To avoid this problem, we in this paper investigate an alternative, most user-friendly approach, for identification in combination with biometric-based authentication using metadata filtering. An evaluation of the adopted approach is carried out using realistic simulations of the Swedish population to assess the feasibility of the proposed system. The results show that metadata filtering in combination with traditional biometric-based matching is indeed a powerful tool for providing reliable, and user-friendly, central authentication services for large user groups.

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Generating cancellable fingerprint templates based on Delaunay triangle feature set construction

Cited by 58 publications

References 25 publications

On the Unlinkability of Fingerprint Shell

On the Unlinkability of Fingerprint Shell

A Cancelable Template for the Low-Quality Fingerprints from Wearable Devices

Metadata filtering for user-friendly centralized biometric authentication

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