手势
计算机科学
生物识别
认证(法律)
手势识别
轮廓
计算机视觉
特征(语言学)
人工智能
计算机安全
语言学
哲学
作者
Chang Liu,Wenxiong Kang,Linpu Fang,Ningxin Liang
标识
DOI:10.1007/978-3-030-31456-9_11
摘要
Due to biometric immutability, an authentication system that depends on irrevocable biometric data (faces and fingerprints) is vulnerable to vicious attacks. Gestures, as short actions that contain static and dynamic behavioral information, are gradually replacing traditional biometrics. Compared to body gestures, hand gestures are more flexible and do not require the user’s entire body to appear in front of the camera. However, most existing feature extraction algorithms rely on the key point of a hand in motion or the image analysis of a static hand gesture, thereby making the authentication less real-time and less effective in the real-word. To alleviate these problems, we propose a user authentication system based on dynamic hand gestures jointly models the silhouette and skeletal properties of moving hands for user authentication. Our system obtains an average 0.105% false acceptance rate (FAR) and an average 3.40% false rejection rate (FRR) on the public Dynamic Hand Gesture 14/28 dataset.
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