ACADSTAFF UGM

CREATION
Title : Two-step calibration method for multi-algorithm score-based face recognition systems by minimizing discrimination loss
Author :

Dr. Nanang Susyanto, S.Si., M.Sc., M.Act.Sc. (1) Raymond N.J. Veldhuis (2) Luuk J. Spreeuwers (3) Chris A. J. Klaassen (4)

Date : 2016
Keyword : Forensic Face,Multi-algorithms,Biometric Fusion,Face recognition ,multibiometric Forensic Face,Multi-algorithms,Biometric Fusion,Face recognition ,multibiometric
Abstract : We propose a new method for combining multi-algorithm score-based face recognition systems, which we call the two-step calibration method. Typically, algorithms for face recognition systems produce dependent scores. The two-step method is based on parametric copulas to handle this dependence. Its goal is to minimize discrimination loss. For synthetic and real databases (NIST-face and Face3D) we will show that our method is accurate and reliable using the cost of log likelihood ratio and the information-theoretical empirical cross-entropy (ECE).
Group of Knowledge : Matematika
Level : Internasional
Status :
Published
Document
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