Ported system for personal identity verification

• US 7,310,432 B2
• Filed: 06/26/2004
• Issued: 12/18/2007
• Est. Priority Date: 06/26/2004
• Status: Expired due to Fees

• Current Assignee: ArtiNNet Corp.
• Original Assignee: ArtiNNet Corp.
• Inventors: Xu, Xiaoshu
• Primary Examiner(s): Ahmed; Samir
• Assistant Examiner(s): Mafi; Ehsan D.
• Application Number:
  US10/877,018
• Publication Number:
  US 20050286761A1
• Time in Patent Office: 1,270 Days
• Field of Search: 382/125, 382155-161, 382115-124
• US Class Current: 382/115
• CPC Class Codes: G06F 18/217 Validation; Performance evaluation; Active pattern learning techniques
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G06V 40/1365 Matching; Classification

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.

Claims

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.

2. The method of personal identity verification of claim 1 wherein said produced acceptance signal activates a visual display.

3. The method of personal identity verification of claim 1 wherein said produced acceptance signal activates an audio speaker.

4. The method of personal identity verification of claim 1 wherein said acceptance signal activates an electrical switch.

5. The method of personal identity verification of claim 1 wherein said acceptance signal activates a wireless transmitter.

6. The method of personal identity verification of claim 1 wherein said electronic device is a cellular telephone.

7. The method of personal identity verification of claim 1 wherein said electronic device is a programmable computer.

8. The method of personal identity verification of claim 1 wherein said electronic device is a digital camera.

9. The method of personal identity verification of claim 1 wherein said electronic device is a microprocessor.

10. The method of personal identity verification of claim 9 wherein said microprocessor is attached to a building entrance.

11. The method of personal identity verification of claim 9 wherein said microprocessor is embedded in a smart card reader.

12. The method of personal identity verification of claim 9 wherein said microprocessor is embedded in a motor vehicle.

13. The method of personal identity verification of claim 1 wherein said validation biometric sensor and said enrollment biometric sensor are fingerprint sensors.

14. The method of personal identity verification of claim 1 wherein said validation biometric sensor and said enrollment biometric sensor are microphones.

15. The method of personal identity verification of claim 1 wherein said validation biometric sensor and said enrollment biometric sensor are cameras.

16. The method of personal identity verification of claim 1 wherein said validation biometric sensor and said enrollment biometric sensor are digital scanners.