ACADSTAFF UGM
| 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
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