Emerging Biometric Modalities: Challenges and Opportunities

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 sev...

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Bibliographic Details
Published inSecurity Technology, Disaster Recovery and Business Continuity Vol. 122; pp. 29 - 38
Main Author Gafurov, Davrondzhon
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2010
Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
Subjects
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ISBN3642176097
9783642176098
ISSN1865-0929
1865-0937
DOI10.1007/978-3-642-17610-4_4

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Summary: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.
ISBN:3642176097
9783642176098
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-17610-4_4