Отрывок: The dominant orientation of the pattern is the direction tm where the criterion SSG is maximal: H : [ ], : max ( , ), arg maxSSG , , m h v m h v t h t t t t t t t h v (5) where [] denotes th...
Название : | Screen recapture detection based on color-texture analysis of document boundary regions |
Авторы/Редакторы : | Kunina, I.A. Sher, A.V. Nikolaev, D.P. |
Ключевые слова : | document analysis document liveness detection screen recapture detection fast Hough transform |
Дата публикации : | Авг-2023 |
Издательство : | Самарский национальный исследовательский университет |
Библиографическое описание : | Kunina IA, Sher AV, Nikolaev DP. Screen recapture detection based on color-texture analysis of document boundary regions. Computer Optics 2023; 47(4): 650-657. DOI: 10.18287/2412-6179-CO-1237. |
Серия/номер : | 47;4 |
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 %. |
URI (Унифицированный идентификатор ресурса) : | https://dx.doi.org/ 10.18287/2412-6179-CO-1237 http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Screen-recapture-detection-based-on-colortexture-analysis-of-document-boundary-regions-107773 |
Другие идентификаторы : | Dspace\SGAU\20231228\107773 |
ГРНТИ: | 28.23.15 |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
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Файл | Описание | Размер | Формат | |
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2412-6179_2023_47_4_650-657.pdf | 1.83 MB | Adobe PDF | Просмотреть/Открыть |
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