TECHNOLOGIES FOR LEARNING BODY PART GEOMETRY FOR USE IN BIOMETRIC AUTHENTICATION

摘要

Technologies for learning body part geometry are described. In some embodiments the technologies include systems, methods and computer readable medium for extracting biometric information from a body part of a user, such as the user's hand. In some instances the extraction is performed with the aid of a calibrated computer model of the body part in question. Body part information may be saved in a data structure for use as a biometric template. The Biometric authentication processes utilizing the technologies are also described.

主权项

1. A method for generating a biometric template, comprising:
generating a calibrated model of a first body part of a user at least in part from depth information included in a depth image of the first body part acquired with a depth sensor; extracting one or more biometric features of said first body part at least in part using said calibrated model; and producing a biometric reference template comprising said biometric features of said first body part as biometric reference information; wherein generating said calibrated hand model comprises:
formulating multiple hypotheses for a model of said first body part in a first position, each of said multiple hypotheses comprising a depth map of the first body part in the first position, wherein the first position corresponds to the position of said first body part when said depth image is acquired; andidentifying a best hypothesis from said multiple hypotheses at least in part by comparing the depth map of each of said multiple hypotheses to the depth information in said depth image, the best hypothesis comprising one of said multiple hypotheses that most closely fits said depth information.