Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms

Galbally, Javier; Ross, Arun; Gomez‐Barrero, Marta; Fiérrez, Julián; Ortega‐Garcia, Javier

doi:10.1016/j.cviu.2013.06.003

Cited by 123 publications

(82 citation statements)

References 39 publications

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“…has been acquired by means of devices such as pen tablets or smartphones, all this information is stored in a biometric template which is later used as a representation of the subject identity and deployed for authentication purposes. The problem is this biometric template can contain sufficient information to allow the reconstruction of the original biometric trait, which can be used to perform direct attacks to the biometric system [12], [13], [14].…”

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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“…They are considered as the most attractive areas for biometric schemes [29][30][31][32][33][34][35]. The unimodal face and iris system processing steps include preprocessing, feature extraction and producing matching scores.…”

Section: Unimodal Biometric Systemsmentioning

confidence: 99%

Optimal Face-Iris Multimodal Fusion Scheme

Sharifi

Eskandari

2016

Symmetry

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Multimodal biometric systems are considered a way to minimize the limitations raised by single traits. This paper proposes new schemes based on score level, feature level and decision level fusion to efficiently fuse face and iris modalities. Log-Gabor transformation is applied as the feature extraction method on face and iris modalities. At each level of fusion, different schemes are proposed to improve the recognition performance and, finally, a combination of schemes at different fusion levels constructs an optimized and robust scheme. In this study, CASIA Iris Distance database is used to examine the robustness of all unimodal and multimodal schemes. In addition, Backtracking Search Algorithm (BSA), a novel population-based iterative evolutionary algorithm, is applied to improve the recognition accuracy of schemes by reducing the number of features and selecting the optimized weights for feature level and score level fusion, respectively. Experimental results on verification rates demonstrate a significant improvement of proposed fusion schemes over unimodal and multimodal fusion methods.

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“…In the present work we address the security issues disclosed in 7 by proposing effective countermeasures to detect the synthetic iris patterns reconstructed from a real IrisCode. Thus, the main objective of the work is to develop a reliable solution to an actual vulnerability flaw present in commercial biometric applications in order to enhance the level of security offered to the final users.…”

Section: Introductionmentioning

confidence: 99%

“…6,7 In particular, in, 7 a probabilistic reconstruction method based on genetic algorithms was presented and used to evaluate the vulnerabilities of a commercial iris recognition system (VeriEye, by Neurotechnology * ) against several masquerade attacks. The attacks were carried out by matching the synthetically reconstructed iris images to the original patterns, showing a lack of resistance of the system against this type of threat.…”

Section: Introductionmentioning

confidence: 99%

Securing iris recognition systems against masquerade attacks

et al. 2013

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A novel two-stage protection scheme for automatic iris recognition systems against masquerade attacks carried out with synthetically reconstructed iris images is presented. The method uses different characteristics of real iris images to differentiate them from the synthetic ones, thereby addressing important security flaws detected in state-of-the-art commercial systems. Experiments are carried out on the publicly available Biosecure Database and demonstrate the efficacy of the proposed security enhancing approach.

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Iris image reconstruction from binary templates: An efficient probabilistic approach based on genetic algorithms

Cited by 123 publications

References 39 publications

Increasing the robustness of biometric templates for dynamic signature biometric systems

Increasing the robustness of biometric templates for dynamic signature biometric systems

Optimal Face-Iris Multimodal Fusion Scheme

Securing iris recognition systems against masquerade attacks

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