Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images
Author:
Affiliation:
1. Department of Computer ScienceOtto‐von‐Guericke‐University Magdeburg, Research Group Multimedia and SecurityP.O. Box 412039016MagdeburgGermany
2. Department of Applied ComputingUniversity of Buckingham, School of ScienceBuckinghamMK18 1EGUK
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2017.0147
Reference32 articles.
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2. Stirtracev2.0: enhanced benchmarking and tuning of printed fingerprint detection;Hildebrandt M.;IEEE Trans. Inf. Forensics Sec.,2015
3. Ferrara M. Franco A. Maltoni D.: ‘The magic passport’.IEEE Int. Joint Conf. Biometrics (IJCB) 2014 pp.1–7
4. Makrushin A. Neubert T. Dittmann J.: ‘Automatic generation and detection of visually faultless facial morphs’.Proc. of the 12th Int. Joint Conf. Computer Vision Imaging and Computer Graphics Theory and Applications ‐ Volume 6: VISAPP (VISIGRAPP 2017) INSTICC 2017 pp.39–50
5. Kraetzer C. Makrushin A. Neubert T. et al. : ‘Modeling attacks on photo‐id documents and applying media forensics for the detection of facial morphing’.Proc. of the 5th ACM Workshop on Information Hiding and Multimedia Security IHMMSec ‘17 New York NY USA 2017 pp.21–32
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