dc.contributor.author | Zhang, Haoyu | |
dc.contributor.author | Grimmer, Marcel | |
dc.contributor.author | Ramachandra, Raghavendra | |
dc.contributor.author | Bylappa Raja, Kiran | |
dc.contributor.author | Busch, Christoph | |
dc.date.accessioned | 2022-10-11T11:20:43Z | |
dc.date.available | 2022-10-11T11:20:43Z | |
dc.date.created | 2021-12-09T19:13:34Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Published in: 2021 IEEE International Workshop on Biometrics and Forensics (IWBF) | en_US |
dc.identifier.isbn | 978-1-7281-9556-8 | |
dc.identifier.uri | https://hdl.handle.net/11250/3025346 | |
dc.description.abstract | Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms. At the same time, the rapid advancement of biometric authentication requires extensive performance tests in order to inhibit the discriminatory treatment of travellers due to their demographic background. However, the use of face images collected as part of border controls is restricted by the European General Data Protection Law to be processed for no other reason than its original purpose. Therefore, this paper investigates the suitability of synthetic face images generated with StyleGAN and StyleGAN2 to compensate for the urgent lack of publicly available largescale test data. Specifically, two deep learning-based (SER-FIQ, FaceQnet v1) and one standard-based (ISO/IEC TR 29794-5) face image quality assessment algorithm is utilized to compare the applicability of synthetic face images compared to real face images extracted from the FRGC dataset. Finally, based on the analysis of impostor score distributions and utility score distributions, our experiments reveal negligible differences between StyleGAN vs. StyleGAN2, and further also minor discrepancies compared to real face images. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IWBF 2021, Proceedings of 9th International Workshop on Biometrics and Forensics 2021; Rome, Italy, May 6-7, 2021 | |
dc.title | On the Applicability of Synthetic Data for Face Recognition | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.identifier.doi | 10.1109/IWBF50991.2021.9465085 | |
dc.identifier.cristin | 1966827 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |