動画像を用いた顔皮膚血流変化に基づく生体検知法

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2019/02/01

タイトル(英語): Facial Skin Blood Perfusion Change based Liveness Detection using Video Images

著者名: 鵜飼　和歳（グローリー（株）研究開発センター／兵庫県立大学大学院工学研究科），Rashedur Rahman（兵庫県立大学大学院工学研究科），小橋　昌司（兵庫県立大学大学院工学研究科）

著者名(英語): Kazutoshi Ukai (Research & Development Center, GLORY LTD./Graduate School of Engineering, Uinversity of Hyogo), Rashedur Rahman (Graduate School of Engineering, Uinversity of Hyogo), Syoji Kobashi (Graduate School of Engineering, Uinversity of Hyogo)

キーワード: 生体検知，顔認証，3次元偽装，顔皮膚血流変化　　liveness detection，facial recognition，3D spoofing，facial skin blood perfusion change

要約(英語): Facial recognition has been employed as a user-friendly person authentication method, and facial spoofing attack has become a common problem. Although there are two kinds of facial spoofing attacks, 2D spoofing and 3D spoofing, almost studies evaluate the performance only for 2D spoofing. Temporal change of face color will be a possible characteristic to detect liveness against to 3D spoofing attack because there is a relationship between the skin blood perfusion change and the temporal color change in facial video images. This paper proposes two features, R-G correlation feature and inter-area correlation feature, to detect liveness using video images. Also, liveness detection method using support vector machine is demonstrated. The performance was evaluated by accuracy (ACC) for classifying liveness face and three types of spoofing face - 2D printed image, 2D monitor image, and 3D doll. The ACC was 99.2% at the lighting condition of room light, 99.5% at sunlight illuminating the face, and 98.6% at sunlight illuminating the back of the head.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.139 No.2 （2019）

本誌掲載ページ: 29-37 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejsmas/139/2/139_29/_article/-char/ja/