In biometric recognition systems, biometric samples (images of faces, fingerprints, voices, gaits, etc.) of individual people are compared, with classifiers (‘matchers’) indicating the level of similarity between any pair of samples. If two samples taken from the same person are compared a ‘genuine score’ is obtained. If a comparison concerns samples of different people, the resulting score is called an ‘impostor score’. Nanang Susyanto’s research focuses on biometric verification in cases where two biometric samples are compared to find out if they originate from the same person or stem from different people, without making any identity claim.
N. Susyanto: Semiparametric Copula Models for Biometric Score Level.
Prof. C.A.J. Klaassen
Prof. R.N.J. Veldhuis (Universiteit Twente)
Dr L.J. Spreeuwers (Universiteit Twente)
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