Ported system for personal identity verification
First Claim
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1. A system for personal identity verification comprising:
- a computer based enrollment system for training a neural net to obtain neural net weights for a biometric of a user, said neural net having both inter and intra layer connections of all nodes;
an electronic device containing a microprocessor with internal memory;
a validation biometric sensor for capturing a biometric reading from said user, connected in a wired or wireless fashion to said electronic device; and
neural net engine simulation software code ported into said internal memory of said electronic device along with said neural net weights for a biometric of a user from said computer based enrollment system.
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Abstract
A biometric based system with advanced security and privacy characteristics for the verification of a person'"'"'s identity using neural net engine simulation software code and neural net weights obtained from a computer enrollment system and ported into any electronic device with an embedded microprocessor and memory. The neural net structure has both inter and intra layer connections of all nodes.
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Citations
29 Claims
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1. A system for personal identity verification comprising:
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a computer based enrollment system for training a neural net to obtain neural net weights for a biometric of a user, said neural net having both inter and intra layer connections of all nodes;
an electronic device containing a microprocessor with internal memory;
a validation biometric sensor for capturing a biometric reading from said user, connected in a wired or wireless fashion to said electronic device; and
neural net engine simulation software code ported into said internal memory of said electronic device along with said neural net weights for a biometric of a user from said computer based enrollment system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for personal identity verification comprising the steps of:
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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. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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Specification