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Identity Document Presentation Attack Detection in Visible Light with Illumination-Controlled Scanner

MIDV-Holo-Scan
Authors: Tolstenko, Lada; Popkov, Aleksey; Kunina, Irina; Polevoy, Dmitry; Usilin, Sergey;

Identity Document Presentation Attack Detection in Visible Light with Illumination-Controlled Scanner

Abstract

The MIDV-Holo-Scan dataset consists of scans of physical document samples used in the creation of the MIDV-Holo (https://zenodo.org/records/18781437) dataset. These documents are artificially created and do not contain sensitive data. Scans of documents were obtained using a scanner with illumination from lamps in various positions and with different relative powers.Images of documents are pixel-by-pixel aligned and have uneven brightness. The MIDV-Holo-Scan dataset is useful not only for document authenticity verification tasks, but also for image integration and brightness normalization tasks.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average