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 in | Kompʹûternaâ optika Vol. 47; no. 4; pp. 650 - 657 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Samara National Research University
01.08.2023
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Subjects | |
Online Access | Get full text |
ISSN | 0134-2452 2412-6179 |
DOI | 10.18287/2412-6179-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 %. |
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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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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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