Abstract
Identity verification becomes a challenging task when it has to be automated with high accuracy and non- repudiability. Existing automatic verification methods such as passwords and credit cards are vulnerable to misuse and fraud. Automated biometrics-based authentication methods solve these problems by providing a strong guarantee of the user’s identity: In this tutorial, we present an overview of the fast-developing and exciting area of automated biometrics. Several popular biometrics including fingerprint, face and iris are reviewed, and an introduction to accuracy evaluation methods is presented.
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Ratha, N.K., Senior, A., Bolle, R.M. (2001). Automated Biometrics. In: Singh, S., Murshed, N., Kropatsch, W. (eds) Advances in Pattern Recognition — ICAPR 2001. ICAPR 2001. Lecture Notes in Computer Science, vol 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44732-6_46
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DOI: https://doi.org/10.1007/3-540-44732-6_46
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