|
ОБРАБОТКА ИЗОБРАЖЕНИЙ, РАСПОЗНАВАНИЕ ОБРАЗОВ
Screen recapture detection based on color-texture analysis of document boundary regions
I. A. Kuninaab, A. V. Sherbc, D. P. Nikolaevab a Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow
b Smart Engines Service LLC, Moscow
c Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
Аннотация:
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%.
Ключевые слова:
document analysis, document liveness detection, screen recapture detection, fast Hough transform
Поступила в редакцию: 17.10.2022 Принята в печать: 23.05.2023
Образец цитирования:
I. A. Kunina, A. V. Sher, D. P. Nikolaev, “Screen recapture detection based on color-texture analysis of document boundary regions”, Компьютерная оптика, 47:4 (2023), 650–657
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/co1166 https://www.mathnet.ru/rus/co/v47/i4/p650
|
Статистика просмотров: |
Страница аннотации: | 51 | PDF полного текста: | 55 | Список литературы: | 14 |
|