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Emerging Biometric Modalities: Challenges and Opportunities

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 122))

Abstract

Recent advances in sensor technology and wide spread use of various electronics (computers, PDA, mobile phones etc.) provide new opportunities for capturing and analyses of novel physiological and behavioural traits of human beings for biometric authentication. This paper presents an overview of several such types of human characteristics that have been proposed as alternatives to traditional types of biometrics. We refer to these characteristics as emerging biometrics. We survey various types of emerging modalities and techniques, and discuss their pros and cons. Emerging biometrics faces several limitations and challenges which include subject population coverage (focusing mostly on adults); unavailability of benchmark databases; little research with respect to vulnerability/robustness against attacks; and some privacy concerns they may arise. In addition, recognition performance of emerging modalities are generally less accurate compared to the traditional biometrics. Despite all of these emerging biometrics posses their own benefits and advantages compared to traditional biometrics which makes them still attractive for research. First of all, emerging biometrics can always serve as a complementary source for identity information; they can be suitable in applications where traditional biometrics are difficult or impossible to adapt such as continuous or periodic re-verification of the user’s identity etc.

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Gafurov, D. (2010). Emerging Biometric Modalities: Challenges and Opportunities. In: Kim, Th., Fang, Wc., Khan, M.K., Arnett, K.P., Kang, Hj., Ślęzak, D. (eds) Security Technology, Disaster Recovery and Business Continuity. Communications in Computer and Information Science, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17610-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-17610-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17609-8

  • Online ISBN: 978-3-642-17610-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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