Patent ID: 7310432
Filing Date: 2007-12-18
Classification: G06K

Abstract:
1. A method for personal identity verification comprising the steps of: sensing enrollment information related to a biometric of a user that is recorded by an enrollment sensor; transferring said enrollment information to a computer; combining said enrollment information with samples from a representative database of biometrics from other individuals to form a training set; using said training set and a computer algorithm in said computer to train a pre-chosen neural net structure to preferentially select said biometric of a user and in so doing calculating a chosen set of neural net weights, wherein said neural net is composed of both inter and intra layer connections; transferring neural net engine simulation software code into said internal memory of an electronic device along with said neural net weights for a biometric of a user from said computer based enrollment system sensing validation information relative to a biometric of a user that is recorded by a biometric validation sensor in communication with said electronic device; transferring said validation information to said neural net engine simulation software code to calculate a verification value for the output node; and producing an acceptance signal when the value generated by said output node is within a pre-determined acceptance range.