Abstract: The current document discloses an ear-biometrics-based authentication and identification system that includes an ear-image-capture subsystem that generates an image of a user's ear, a template-generation subsystem that extracts features from the generated image to generate a template that is stored in an electronic memory, and a template-comparison subsystem that compares the generated template to previously generated and stored templates in order to identifier the user.

Abstract: The current document is directed to an ear-scan-based biometrics subsystem that is incorporated into any of a wide variety of processor-controlled devices, including mobile phones. The biometrics subsystem collects touch-point locations, device-orientation-representative angles, and, in certain implementations, additional data during each ear scan and uses the collected information to derive additional data that is stored with the collected data to generate a stored data representation of the ear scan. A first ear scan can be compared to a second ear scan to generate a matching score from weighted scores obtained from the touch-point locations and derived data, device-orientation-representative angles, and additional data within the stored data representations of the first and second ear scans. Ear-scan matching provides a basis for authentication of users and for compiling ear-scan profiles for users.

Abstract: The current document discloses an ear-biometrics-based authentication and identification system that includes an ear-image-capture subsystem that generates an image of a user's ear, a template-generation subsystem that extracts features from the generated image to generate a template that is stored in an electronic memory, and a template-comparison subsystem that compares the generated template to previously generated and stored templates in order to identifier the user.

Abstract: The current document is directed to an ear-scan-based biometrics subsystem that is incorporated into any of a wide variety of processor-controlled devices, including mobile phones. The biometrics subsystem collects touch-point locations, device-orientation-representative angles, and, in certain implementations, additional data during each ear scan and uses the collected information to derive additional data that is stored with the collected data to generate a stored data representation of the ear scan. A first ear scan can be compared to a second ear scan to generate a matching score from weighted scores obtained from the touch-point locations and derived data, device-orientation-representative angles, and additional data within the stored data representations of the first and second ear scans. Ear-scan matching provides a basis for authentication of users and for compiling ear-scan profiles for users.

Abstract: A blast energy mitigation structure may employ a V-shaped hull to decrease the pressure wave imparted to a vehicle during a blast event, and/or an energy absorbing structure to absorb a portion of the blast force, thereby minimizing the forces and accelerations experienced by passengers in the vehicle and consequently reducing their injuries and increasing their survivability during a blast event. An exemplary blast energy mitigation structure may have a V-shaped hull and an energy absorbing structure incorporated into the chassis of a vehicle such as a Tactical Wheeled Vehicle, the energy absorbing structure comprising a truss-like structure including I-beams.