https://libeldoc.bsuir.by/handle/123456789/35690
Title: | New robust face anti-spoofing technique |
Authors: | Khudoykulov, Z. T. Islomov, Sh. Z. Davronova, L. U. Mardiev, U. R. |
Keywords: | материалы конференций;face detection;face recognition;face identification;spoofing;sensor;anti-spoofing;score-level |
Issue Date: | 2019 |
Publisher: | БГУИР |
Citation: | New robust face anti-spoofing technique / Z. T. Khudoykulov [et all.] // Кодирование и цифровая обработка сигналов в инфокоммуникациях: материалы международной научно-практической конференции, Минск, 4 апреля 2019 г. / Белорусский государственный университет информатики и радиоэлектроники; редкол.: В. К. Конопелько, В. Ю. Цветков, Л. А. Шичко. – Минск, 2019. – С. 57 – 60. |
Abstract: | Face recognition is one of the main areas of biometric identification and authentication. Face identification consists of face detection and recognition processes. There are a lot of attacks which they can spoof of faces on face detection process. In this paper all attack points between camera and user application are given. According to the attack points, there are three types of anti-spoofing methods. Based on feature level techniques robust anti-spoofing technique is proposed. When intruder uses photo of the registered person, proposed anti-spoofing technique easily detects. This anti-spoofing technique detects fake face based on pixel value between face and background space. |
URI: | https://libeldoc.bsuir.by/handle/123456789/35690 |
Appears in Collections: | Кодирование и цифровая обработка сигналов в инфокоммуникациях (2019) |
File | Description | Size | Format | |
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Khudoykulov_New.pdf | 498.76 kB | Adobe PDF | View/Open |
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