Introduction to Multibiometrics

Najjar, Leila; Geller, Benoît; Larzabal, Pascal

doi:10.1007/978-0-387-71041-9_14

Cited by 166 publications

(257 citation statements)

References 54 publications

(20 reference statements)

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“…To address these issues, an emerging and continuously evolving technology known as biometrics has become widespread [1]. There is a reasonably permanent link between an individual and their biometric traits [2], biometrics thus can be employed in covert person recognition or in applications where an individual may attempt to conceal their true identity (e.g., using forged documents to cross borders). Although, biometrics has several advantages (e.g., nonrepudiation) over tokens or passwords, it suffers from false matches [11].…”

Section: Introductionmentioning

confidence: 99%

“…1c. Though there exist several biometrics survey/review papers [4-6, 9, 10, 15] and books [2,3,11], their scopes are limited. For instance, [4] is focused mainly on physical biometric traits.…”

Section: Introductionmentioning

confidence: 99%

“…[5,6,9,10,15] discuss only about mobile-, wearable-, behavioral-, and softbiometrics, respectively. Similarly, [2,3,11] only provides description of fusion, spoofing, and fingerprint, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Biometrics: In Search of Identity and Security (Q & A)

Akhtar¹,

Hadid

Nixon

et al. 2017

IEEE MultiMedia

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Abstract-To address the issues like identity theft and security threats, a continuously evolving technology known as biometrics is presently being deployed in a wide range of personal, government, and commercial applications. Despite the great progress in the field, several exigent problems have yet to be addressed to unleash biometrics full potential. This article aims to present an overview of biometric research and more importantly the significant progress that has been attained over the recent years. The paper is envisaged to further not only the understanding of general audiences and policy makers but also interdisciplinary research. Most importantly, this article is intended to complement earlier articles with updates on most recent topics and developments related to e.g. spoofing, evasion, obfuscation, face reconstruction from DNA, Big data issues in biometrics, etc.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Biometrics: In Search of Identity and Security (Q & A)

Akhtar¹,

Hadid

Nixon

et al. 2017

IEEE MultiMedia

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“…Because the discriminatory power of the two features is different, weights for the normalized distances are calculated using the mean-variance method. This method yielded superior results in comparison to other normalization methods [31]:…”

Section: Feature Combinationmentioning

confidence: 94%

Gait Recognition With Shifted Energy Image and Structural Feature Extraction

Huang

Boulgouris

2012

IEEE Trans. on Image Process.

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In this paper, we present a novel and efficient gait recognition system. The proposed system uses two novel gait representations, the Shifted Energy Image and the Gait Structural Profile, that have increased robustness to some classes of structural variations. Furthermore, we introduce a novel method for the simulation of walking conditions and the generation of artificial subjects that are used for the application of Linear Discriminant Analysis. In the decision stage, the two representations are fused.Thorough experimental evaluation, conducted using one traditional and two new databases, demonstrates the advantages of the proposed system in comparison to current state-of-the-art systems.

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“…Performance can be complemented with combining multiple biometric traits such as face and iris to keep both high performance and high collectability. This approach is known as multimodal biometrics 4) , which is one of active research topics in biometrics. Table 2 summarizes the number of papers for each biometric trait presented in the international conferences related to biometrics, where the number of papers was counted by the authors.…”

Section: Universality Distinctiveness Permanence Collectability Perfomentioning

confidence: 99%

[Invited Paper] Recent Advances in Biometric Recognition

Ito

Aoki

2018

MTA

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This paper presents recent advances in biometric recognition, where we focus on face, fingerprint and iris recognition, which are major research topics on biometric recognition. We summarize the research trend of face, fingerprint and iris recognition over the past decade. This paper also presents our activities of biometric recognition. Our approach employs the phase information obtained by Discrete Fourier Transform (DFT) of images. The phase information preserves the inherent features of the image, and its correlation function, called phase correlation or Phase-Only Correlation (POC), gives us both the good similarity measure for biometric recognition and the translational displacement for image registration.Our approach of using phase information has been successfully applied to fingerprint, face, iris, palmprint, finger knuckle and dental recognition. Among them, we present some interesting results of palmprint recognition, finger knuckle recognition and dental recognition.

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Introduction to Multibiometrics

Cited by 166 publications

References 54 publications

Biometrics: In Search of Identity and Security (Q & A)

Biometrics: In Search of Identity and Security (Q & A)

Gait Recognition With Shifted Energy Image and Structural Feature Extraction

[Invited Paper] Recent Advances in Biometric Recognition

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