Person Identification and Authentication via Ultrasound Hand-gesture-signature Analysis

Biometrics showed their usefulness in several applications, systems with fingerprint or face identification are well accepted in several fields with possibly different constraints like, for example, forensic or smartphone unlocking. In this paper, a novel ultrasound prototype for person identification and authentication has been designed, built and tested. The system, which acts as a sonar, measures the pressure wave backscattered from a moving hand. Such signal is subsequently processed by means of time/frequency analysis and a deep learning detector is implemented in order to identify/authenticate the user based on some peculiarity in the gestures execution. The proposed solution is cheap and, due to the high adaptability, allows different security levels. Promising results are obtained after tests carried out with the help of 10 volunteers.