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Advanced Biometric Technologies: Emerging Scenarios and Research Trends

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From Database to Cyber Security

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11170))

Abstract

Biometric systems are the ensemble of devices, procedures, and algorithms for the automatic recognition of individuals by means of their physiological or behavioral characteristics. Although biometric systems are traditionally used in high-security applications, recent advancements are enabling the application of these systems in less-constrained conditions with non-ideal samples and with real-time performance. Consequently, biometric technologies are being increasingly used in a wide variety of emerging application scenarios, including public infrastructures, e-government, humanitarian services, and user-centric applications. This chapter introduces recent biometric technologies, reviews emerging scenarios for biometric recognition, and discusses research trends.

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Acknowledgments

This work was supported in part by: the EC within the 7FP under grant agreement 312797 (ABC4EU); the EC within the H2020 program under grant agreement 644597 (ESCUDO-CLOUD); and the Italian Ministry of Research within the PRIN 2015 project COSMOS (201548C5NT).

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Authors and Affiliations

  1. Department of Computer Science, Università degli Studi di Milano, via Celoria 18, 20133, Milan, MI, Italy

    Angelo Genovese, Enrique Muñoz, Vincenzo Piuri & Fabio Scotti

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  1. Angelo Genovese
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  2. Enrique Muñoz
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  3. Vincenzo Piuri
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  4. Fabio Scotti
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Correspondence to Vincenzo Piuri .

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Editors and Affiliations

  1. Università degli Studi di Milano, Milano, Italy

    Pierangela Samarati

  2. Colorado State University, Fort Collins, CO, USA

    Indrajit Ray

  3. Colorado State University, Fort Collins, CO, USA

    Indrakshi Ray

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Genovese, A., Muñoz, E., Piuri, V., Scotti, F. (2018). Advanced Biometric Technologies: Emerging Scenarios and Research Trends. In: Samarati, P., Ray, I., Ray, I. (eds) From Database to Cyber Security. Lecture Notes in Computer Science(), vol 11170. Springer, Cham. https://doi.org/10.1007/978-3-030-04834-1_17

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  • DOI: https://doi.org/10.1007/978-3-030-04834-1_17

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