arXiv:2608.22866v1 Announce Type: new
Abstract: Storing face images under a hard sub-kilobyte budget, as required for identity documents, smart-card biometrics and bandwidth-constrained verification,...
By Petr Hurtik, Jakub Sochor
arXiv:2610.35682v1 Announce Type: new
Abstract: Face morphing attacks, in which the biometric traits of two or more identities are blended into a single face image, pose a severe threat to identity d...
By Diogo J. Paulo, Hugo Proen\c{c}a, Jo\~ao C. Neves
arXiv:2610.33627v1 Announce Type: new
Abstract: Identity-document portraits are modified during document production by printing, engraving, and integration into the document template. These transform...
By Alexander Vinogradov
The paper introduces GMoE-FTI, a universal facial template inversion framework that uses a genuine mixture‑of‑experts mechanism to reconstruct faces from various template types. It trains five mapping experts and a matching module, then combines their outputs during inference and fine‑tunes all components jointly, achieving superior performance on the LFW benchmark. Evaluations on seven unseen template types show a 40% improvement in true accept rate and reductions in false accept rates, demonstrating its broad applicability.
By Zixuan Shen, Zhihua Xia, Kaikai Gan, Peipeng Yu
arXiv:2605. 09089v2 Announce Type: replace-cross Abstract: Digital onboarding and eKYC systems used by banks, fintech platforms, telecom providers, and other third-party services commonly verify users by comparing an uploaded identity document with a selfie or live facial capture.
By Abhishek Kumar, Riya Tapwal, Carsten Maple, Mark Hooper
arXiv:2407. 13922v3 Announce Type: replace-cross Abstract: Face recognition (FR) systems are widely deployed in critical applications, making their reliability and robustness across diverse populations and conditions essential.
By Guruprasad Viswanathan Ramesh, Ashish Hooda, Shimaa Ahmed, Harrison J Rosenberg, Ramya Korlakai Vinayak, Kassem Fawaz