SynID: Passport Synthetic Dataset for Presentation Attack Detection
Journal:
arXiv
Published Date:
May 12, 2025
Abstract
The demand for Presentation Attack Detection (PAD) to identify fraudulent ID
documents in remote verification systems has significantly risen in recent
years. This increase is driven by several factors, including the rise of remote
work, online purchasing, migration, and advancements in synthetic images.
Additionally, we have noticed a surge in the number of attacks aimed at the
enrolment process. Training a PAD to detect fake ID documents is very
challenging because of the limited number of ID documents available due to
privacy concerns. This work proposes a new passport dataset generated from a
hybrid method that combines synthetic data and open-access information using
the ICAO requirement to obtain realistic training and testing images.
