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Intelligent Multimedia Analysis for Emerging Biometrics

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Intelligent Multimedia Analysis for Security Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 282))

Summary

Various anthropometric studies have been conducted in the last decade in order to investigate how different physiological or behavioral human characteristics can be used as identity evidence to prove the individuality of each person. Some of these characteristics are: face, eyes, ears, teeth, fingers, hands, feet, veins, voice, signature, typing style and gait. Since the first biometric security systems appeared in the market, an increasing demand for novel techniques that will cover all different scenarios, has been observed. Every new method appears to outmatch some of its competitors but, at the same time, presents disadvantages compared to others. However, there is still no method that consists a single panacea to all different scenarios and demands for security. This is the reason for which researchers are on a continuous effort for more efficient and generic biometric modalities that can be used in various applications. In this chapter, emerging biometric modalities that appeared in the last years in order to improve the performance of biometric recognition systems, are presented. The presented methods are divided in two major categories, intrusive and non-intrusive ones, according to the level of user nuisance that each system sets off.

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Authors and Affiliations

  1. Dept. of Informatics, Aristotle University of Thessaloniki, Greece

    Georgios Goudelis, Anastasios Tefas & Ioannis Pitas

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  1. Georgios Goudelis
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  2. Anastasios Tefas
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  3. Ioannis Pitas
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Editors and Affiliations

  1. TOBB ETÜ Computer Engineering Department, Sögütözü Cad.No:43, Sögütözü, 06560, Ankara, Turkey

    Husrev Taha Sencar

  2. Computing, Information Systems and Mathematics, Kingston University London, Penrhyn Road, KT1 2EE, Surrey, UK

    Sergio Velastin

  3. Department of Informatics, Aristotle University of Thessaloniki, Box 451, GR-54124, Thessaloniki, Greece

    Nikolaos Nikolaidis

  4. France Telecom R&D (Orange Labs) Beijing, Raycom Infotech Park C, 2 Science Institute South Road, Haidian District, 100080, Beijing, China

    Shiguo Lian

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Goudelis, G., Tefas, A., Pitas, I. (2010). Intelligent Multimedia Analysis for Emerging Biometrics. In: Sencar, H.T., Velastin, S., Nikolaidis, N., Lian, S. (eds) Intelligent Multimedia Analysis for Security Applications. Studies in Computational Intelligence, vol 282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11756-5_5

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