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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/35690
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dc.contributor.authorKhudoykulov, Z. T.-
dc.contributor.authorIslomov, Sh. Z.-
dc.contributor.authorDavronova, L. U.-
dc.contributor.authorMardiev, U. R.-
dc.date.accessioned2019-07-11T06:41:55Z-
dc.date.available2019-07-11T06:41:55Z-
dc.date.issued2019-
dc.identifier.citationNew 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.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/35690-
dc.description.abstractFace 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.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectface detectionru_RU
dc.subjectface recognitionru_RU
dc.subjectface identificationru_RU
dc.subjectspoofingru_RU
dc.subjectsensorru_RU
dc.subjectanti-spoofingru_RU
dc.subjectscore-levelru_RU
dc.titleNew robust face anti-spoofing techniqueru_RU
dc.typeСтатьяru_RU
Appears in Collections:Кодирование и цифровая обработка сигналов в инфокоммуникациях (2019)

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