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Weakly Supervised Training for Hologram Verification in Identity Documents
April 29, 2024, 4:45 a.m. | Glen Pouliquen (IDnow AI & ML Center of Excellence, France, EPITA Research Lab), Guillaume Chiron (IDnow AI & ML Center of Excellence, France), Joseph
cs.CV updates on arXiv.org arxiv.org
Abstract: We propose a method to remotely verify the authenticity of Optically Variable Devices (OVDs), often referred to as ``holograms'', in identity documents. Our method processes video clips captured with smartphones under common lighting conditions, and is evaluated on two public datasets: MIDV-HOLO and MIDV-2020. Thanks to a weakly-supervised training, we optimize a feature extraction and decision pipeline which achieves a new leading performance on MIDV-HOLO, while maintaining a high recall on documents from MIDV-2020 used …
arxiv cs.cv documents hologram identity supervised training training type verification
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