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In this paper, we propose a new authentication system that uses the motion of finger tracing a three-dimensional (3D) object by using 3D motion capture and 3D scenography. Specifically, it captures the 3D motion of a finger tracing a 3D object displayed on a 3D monitor, and carries out verification by comparing previously registered data with the captured data obtained from the 3D motion of the finger. As a first fundamental step in the development of this authentication system, an exploratory experiment was conducted using 3D scenography constructed by augmented reality (AR) projected onto a normal 2D monitor.

Biometric identification using modalities based on the human body is being actively studied. For physical biometrics, such as fingerprints, veins, irises, and faces, which have been widely used for identification, spoofing is recognized as a serious vulnerability. In an attempt to prevent spoofing, here, we have proposed three new biometrics approaches based on various features of the eyes, namely, the behavioral characteristics of eye movement, three-dimensional shape of the iris surface, and a combination of measuring the contour of the upper eyelid during blinking, respectively. All three proposed methods have high accuracy of identification and are resistant to spoofing. In this chapter, the respective characteristics, experimental devices, algorithms of image processing, evaluative experiments, and summary of each proposed method are described. In the final section, the characteristics and accuracy of each method are compared and discussed.