Beyond Biometrics

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Broek van den, Egon L. (2010) Beyond Biometrics. Procedia Computer Science, 1 (1). pp. 2505-2513. ISSN 1877-0509

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Abstract:Throughout the last 40 years, the essence of automated identification of users has remained the same. In this article, a new class of biometrics is proposed that is founded on processing biosignals, as opposed to images. After a brief introduction on biometrics, biosignals are discussed, including their advantages, disadvantages, and guidelines for obtaining them. This new class of biometrics increases biometrics’ robustness and enables cross validation. Next, biosignals’ use is illustrated by two biosignal-based biometrics: voice identification and handwriting recognition. Additionally, the concept of a digital human model is introduced. Last, some issues will be touched upon that will arise when biosignal-based biometrics are brought to practice.
Item Type:Article
Copyright:© 2010 Elsevier
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/72473
Official URL:http://dx.doi.org/10.1016/j.procs.2010.04.284
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