Protected Facial Biometric Templates Based on Local Gabor Patterns and Adaptive Bloom Filters

Gomez‐Barrero, Marta; Rathgeb, Christian; Galbally, Javier; Fiérrez, Julián; Busch, Christoph

doi:10.1109/icpr.2014.767

Cited by 56 publications

(33 citation statements)

References 21 publications

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“…In order to solve this problem, many efforts have been done trying to protect the biometric template information [15], [16]. However, the performance of the system using this biometric template protection gets worse in some biometric traits.…”

Section: Introductionmentioning

confidence: 99%

Increasing the robustness of biometric templates for dynamic signature biometric systems

Tolosana

Vera-Rodríguez

Ortega‐Garcia

et al. 2015

2015 International Carnahan Conference on Security Technology (ICCST)

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El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription Abstract-Due to the high deployment of devices such as smartphones and tablets and their increasing popularity in our society, the use of biometric traits in commercial and banking applications through these novel devices as an easy, quick and reliable way to perform payments is rapidly increasing. The handwritten signature is one of the most socially accepted biometric traits in these sectors due to the fact that it has been used in financial and legal transitions for centuries. In this paper we focus on dynamic signature verification systems. Nowadays, most of the state-of-the-art systems are based on extracting information contained in the X and Y spatial position coordinates of the signing process, which is stored in the biometric templates. However, it is critical to protect this sensible information of the users signatures against possible external attacks that would allow criminals to perform direct attacks to a biometric system or carry out high quality forgeries of the users signatures. Following this problem, the goal of this work is to study the performance of the system in two cases: first, an optimal time functions-based system taking into account the information related to X and Y coordinates and pressure, which is the common practice (i.e. Standard System). Second, we study an extreme case not considering information related to X, Y coordinates and their derivatives on the biometric system (i.e. Secure System), which would be a much more robust system against attacks, as this critical information would not be stored anywhere. The experimental work is carried out using e-BioSign database which makes use of 5 devices in total. The systems considered in this work are based on Dynamic Time Warping (DTW), an elastic measure over the selected time functions. Sequential Forward Features Selection (SFFS) is applied as a reliable way to obtain an optimal time functions vector over a development subset of users of the database. The results obtained over the evaluation subset of users of the database show a similar performance for both Standard and Secure Systems. Therefore, the use of a Secure System can be useful in some applications such as banking in order to avoid the lost of important user information against possible external attacks.

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Section: Introductionmentioning

confidence: 99%

Increasing the robustness of biometric templates for dynamic signature biometric systems

Tolosana

Vera-Rodríguez

Ortega‐Garcia

et al. 2015

2015 International Carnahan Conference on Security Technology (ICCST)

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“…For feature extraction as well as parameter selection, we refer to the configurations identified as most adequate in [12,13], where ||T F = T I || holds (see last column in Table 1). In facial images eyes were automatically annotated using VeriLook SDK 4.0, developed by Neurotechnology 3 .…”

Section: Methodsmentioning

confidence: 99%

“…It will be shown that this simple fusion process highly improves the privacy protection provided by the Bloom filter-based transform. Since optimal choices of w F (w I ) depend on biometric characteristics and feature extraction algorithms (see [12,13]…”

Section: Bloom Filter-based Transform and Fusionmentioning

confidence: 99%

“…iris [12] or face [13]. It has been shown that the concept can be used to generate irreversible protected templates which are capable of maintaining biometric performance, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…It has been shown that the concept can be used to generate irreversible protected templates which are capable of maintaining biometric performance, e.g. EERs of approximately 1% and 5% for iris and face, respectively [12,13]. Furthermore, it has been shown that the concept can be employed in a multi-biometric scenario, in particular a multi-instance single-algorithm scenario protecting iris-codes at feature level [14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards cancelable multi-biometrics based on bloom filters: a case study on feature level fusion of face and iris

Rathgeb

Gomez‐Barrero

Busch

et al. 2015

3rd International Workshop on Biometrics and Forensics (IWBF 2015)

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In this work we propose a generic framework for generating an irreversible representation of multiple biometric templates based on adaptive Bloom filters. The presented technique enables a feature level fusion of different biometrics (face and iris) to a single protected template, improving privacy protection compared to the corresponding systems based on a single biometric trait. At the same time, a significant gain in biometric performance is achieved, confirming the soundness of the proposed technique.

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Iris Image Reconstruction from Binary Templates

Galbally

Savvides

Venugopalan

et al. 2016

Handbook of Iris Recognition

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Protected Facial Biometric Templates Based on Local Gabor Patterns and Adaptive Bloom Filters

Cited by 56 publications

References 21 publications

Increasing the robustness of biometric templates for dynamic signature biometric systems

Increasing the robustness of biometric templates for dynamic signature biometric systems

Towards cancelable multi-biometrics based on bloom filters: a case study on feature level fusion of face and iris

Iris Image Reconstruction from Binary Templates

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