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Hologram Detection for Identity Document Authentication

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Pattern Recognition and Artificial Intelligence (ICPRAI 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13363))


Authentication of person is a challenging security problem that becomes more and more important, as identity of user has to be checked in a remote way through web exchanges between two partners. Identity documents are exchanged but how to be sure they are authentic? To prevent fake identity documents, they are designed with many details that are very complex to reproduce. In this article, we address the case of holograms that are embedded in passports, the presence of which is to be detected. Unlike most of the methods in the literature tackling this problem, our image analysis approach is looking for any hologram on any part of a document and relies on the acquisition of a video with a smartphone in natural light conditions, indoor or outdoor. From a first selection of pixels in each frame of the video, based on pixel properties such as saturation and value, shape and hues of the selection set are then studied. The whole hologram is reconstructed by an accumulation of parts extracted on each frame. The method has been evaluated on a database of 85 identity documents comprising authentic ones as well as fakes.

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Correspondence to Camille Kurtz .

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Kada, O., Kurtz, C., van Kieu, C., Vincent, N. (2022). Hologram Detection for Identity Document Authentication. In: El Yacoubi, M., Granger, E., Yuen, P.C., Pal, U., Vincent, N. (eds) Pattern Recognition and Artificial Intelligence. ICPRAI 2022. Lecture Notes in Computer Science, vol 13363. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-09036-3

  • Online ISBN: 978-3-031-09037-0

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