Detection of face spoofing attacks on biometric identification systems

Zhuravlov, D.; Polshakova, O.

Detection of face spoofing attacks on biometric identification systems

Файли

279095-643346-1-10-20230512.pdf (595.19 KB)

Дата

2023

Автори

Zhuravlov, D.

Polshakova, O.

Видавець

КПІ ім. Ігоря Сікорського

Анотація

The article considers methods for the detection and recognition of spoofing attacks on biometric protection systems using the human face, analyses their qualitative indicators and analyses the approach using convolutional neural networks that would allow to obtain the best HTER for the future protection system. The obtained result allowed to highlight the advantages and disadvantages in the design of an attack detection system in the considered area of application. The proposed algorithm of the spoofing attack detection system based on convolutional neural networks using image depth maps.

Ключові слова

anti-spoofing, face identification, convolutional neural networks, key points and features, biometric authentication and identification

Бібліографічний опис

Zhuravlov, D. Detection of face spoofing attacks on biometric identification systems / D. Zhuravlov, O. Polshakova // Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2023. – № 1 (42). – С. 108-114. – Бібліогр.: 8 назв.