Web: http://arxiv.org/abs/2206.10989

June 23, 2022, 1:13 a.m. | Musab Al-Ghadi, Zuheng Ming, Petra Gomez-Krämer, Jean-Christophe Burie

cs.CV updates on arXiv.org arxiv.org

In cases such as digital enrolment via mobile and online services, identity
document verification is critical in order to efficiently detect forgery and
therefore build user trust in the digital world. In this paper, an
authentication model for identity documents based on forgery detection of
guilloche patterns is proposed. The proposed approach is made up of two steps:
feature extraction and similarity measure between a pair of feature vectors of
identity documents. The feature extraction step involves learning the
similarity …

arxiv authentication cv detection identity on

More from arxiv.org / cs.CV updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY