Screen recapture detection based on color-texture analysis of document boundary regions

This paper examines a presentation attack detection when a document recaptured from a screen is presented instead of the original document. We propose an algorithm based on analyzing a moiré pattern within document boundary regions as a distinctive feature of the recaptured image. It is assumed that...

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Published inKompʹûternaâ optika Vol. 47; no. 4; pp. 650 - 657
Main Authors Kunina, I.A., Sher, A.V., Nikolaev, D.P.
Format Journal Article
LanguageEnglish
Published Samara National Research University 01.08.2023
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ISSN0134-2452
2412-6179
DOI10.18287/2412-6179-CO-1237

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Abstract This paper examines a presentation attack detection when a document recaptured from a screen is presented instead of the original document. We propose an algorithm based on analyzing a moiré pattern within document boundary regions as a distinctive feature of the recaptured image. It is assumed that the pattern overlapping the document boundaries is a recapture artifact, not a match between document and background textures. To detect such a pattern, we propose an algorithm that employs the result of the fast Hough transform of the document boundary regions with enhanced pattern contrast. The algorithm performance was measured for the open dataset DLC-2021, which contains images of mock documents as originals and their screen recaptures. The precision of the proposed solution was evaluated as 95.4 %, and the recall as 90.5 %.
AbstractList This paper examines a presentation attack detection when a document recaptured from a screen is presented instead of the original document. We propose an algorithm based on analyzing a moiré pattern within document boundary regions as a distinctive feature of the recaptured image. It is assumed that the pattern overlapping the document boundaries is a recapture artifact, not a match between document and background textures. To detect such a pattern, we propose an algorithm that employs the result of the fast Hough transform of the document boundary regions with enhanced pattern contrast. The algorithm performance was measured for the open dataset DLC-2021, which contains images of mock documents as originals and their screen recaptures. The precision of the proposed solution was evaluated as 95.4 %, and the recall as 90.5 %.
Author Nikolaev, D.P.
Kunina, I.A.
Sher, A.V.
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Institute for Information Transmission Problems of RAS (Kharkevich Institute)
Moscow Institute of Physics and Technology (State University)
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Snippet This paper examines a presentation attack detection when a document recaptured from a screen is presented instead of the original document. We propose an...
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StartPage 650
SubjectTerms document analysis
document liveness detection
fast hough transform
screen recapture detection
Title Screen recapture detection based on color-texture analysis of document boundary regions
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