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;
a carrier;
a validation biometric sensor for capturing a biometric reading from said user, mounted on said carrier and connected to said neural net engine circuitry; and
neural net engine circuitry mounted on said carrier and having memory for stored neural net weights obtained from said computer based enrollment system for said user.
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Abstract
A biometric based system with advanced security and privacy characteristics for the verification of a person'"'"'s identity using embedded neural net structures and associated weights that process input and output data in parallel and require no central processing unit or microcontroller; resulting in low power dissipation, low cost processing chip, and affordable verification solution for portable uses such as financial transaction cards, identification cards, computers, wireless devices, keyless wireless entry systems, and others.
77 Citations
44 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;
a carrier;
a validation biometric sensor for capturing a biometric reading from said user, mounted on said carrier and connected to said neural net engine circuitry; and
neural net engine circuitry mounted on said carrier and having memory for stored neural net weights obtained from said computer based enrollment system for said user. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. 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;
transferring said chosen set of neural net weights into neural net circuitry attached to a carrier;
sensing validation information relative to a biometric of a user that is recorded by a biometric validation sensor attached to said carrier;
transferring said validation information to said neural net circuitry to generate a verification value at 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 (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44)
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Specification