Distributed stand-off verification and face recognition systems (FRS)

• US 20060082438A1
• Filed: 12/01/2005
• Published: 04/20/2006
• Est. Priority Date: 09/05/2003
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Bazakos, Michael E., Meyers, David W.
• Granted Patent: US 7,843,313 B2
• Time in Patent Office: Days
• US Class Current: 340/5.820
• CPC Class Codes: G06V 40/166 using acquisition arrangements
• CPC Class Codes: G07B 15/06 Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
• CPC Class Codes: G07C 9/257 electronically G07C9/26 takes precedence
• CPC Class Codes: G08G 1/017 identifying vehicles G08G1/015, G08G1/054 take precedence
• CPC Class Codes: G08G 1/207 with respect to certain areas, e.g. forbidden or allowed areas with possible alerting when inside or outside boundaries

Abstract

A system for providing stand-off biometric verification of a driver of a vehicle while the vehicle is moving and/or a person on foot at a control gate, including an RFID vehicle tag reader, an RFID personal smart card reader and a facial detection and recognition (verification) system. The driver carries a RFID personal smart card that stores personal information of the driver and a face template of the driver. The vehicle carries a RFID vehicle tag that stores information regarding the vehicle. When the vehicle approaches the control gate, the RFID vehicle tag reader reads data from the RFID vehicle tag and the RFID personal tag reader reads data from the RFID personal smart card. The facial detection and verification system scans and reads a facial image for the driver. All the data and facial images detected by the readers are sent to a local computer at the control gate for further processing (final face verification). The local computer at the control gate decodes and retrieves the face template from the data read from the RFID personal smart card.

Claims

1. A method for providing dynamic security verification, comprising:

recording data regarding information and a face print of a person in a RFID device that is carried by the person;

reading the RFID device and relating a read RFID number to information stored in a database;

dynamically obtaining a facial image of the person via an image-captured device;

retrieving the face print from the RFID device; and

comparing the retrieved face print with the facial image of the person.

2. The method of claim 1, wherein the RFID device further comprises identifying codes that correspond to a format of a predetermined face recognition technology.

3. The method of claim 2, wherein the face print is retrieved based on the identifying codes stored in the RFID device.

4. The method of claim 2, wherein the facial image of the person is obtained by:

scanning a face of the person with low near infrared (IR) light and high near-IR light to obtain a first facial image and a second facial image, respectively;

subtracting the second facial image from the first facial image to obtain a skin image of the person,

performing a multi-band extraction on the first and second facial images to obtain a third facial image,

combining the skin image and third facial image to obtain a final facial image; and

comparing the final facial image with the retrieved face print.

5. The method of claim 1, wherein the data regarding the information of the person comprises personal information and vehicle information of the person.

6. The method of claim 1, wherein the face print is stored in a format that corresponds to a predetermined recognition technology.

7. The method of claim 1, wherein the face of the person is scanned dynamically and automatically when the person passes by a reading point.

8. A method for dynamically verifying a person at a control gate, the method comprising:

recording data regarding information and a face template of a person in a RFID device that is carried by the person, wherein the information of the person includes personal information and vehicle information that is registered to the person;

storing the data along with a RFID number in a database;

reading the RFID device and relating the read RFID number to the information stored in the database;

associating the RFID device and data stored thereon with the data stored in the database;

retrieving the face template from the RFID device;

dynamically obtaining a facial image of the person; and

comparing the facial image with the retrieved face template to verify identity,

wherein the retrieving the face print step and the comparing step are performed by a local computer located at the control gate.

9. The method of claim 8, wherein the database is a database of the local computer.

10. The method of claim 8, wherein the local computer is coupled with a remote host computer.

11. The method of claim 8, wherein the RFID device further comprises identifying codes that correspond to a format of a face recognition technology.

12. The method of claim 11, wherein the face print is retrieved based on the identifying codes stored in the RFID device.

13. The method of claim 8, further comprising dynamically verifying a vehicle in which the person is riding, wherein information regarding the vehicle is recorded in an RFID vehicle tag.

14. The method of claim 13, further comprising:

reading the RFID vehicle data from the vehicle tag and relating a read RFID number to the information stored in the database; and

comparing the read RFID vehicle data and information corresponding to the read RFID number.

15. The method of claim 8, further comprising:

storing the face template in the database; and

associating the RFID device and face template stored thereon with the face template stored in the database.

16. The method of claim 8, wherein scanning a face of the personnel further comprises:

scanning the face of the person by a low near-IR light and a high near-IR light to obtain a first and a second facial image, respectively;

subtracting the second facial image from the first facial image to obtain a skin image;

performing a multi-band extraction on the first and the second facial image to obtain a third facial image; and

combining the skin image and the third facial image to obtain the final facial image.

17. A system for dynamic stand-off verification, comprising:

an RFID tag carried by an individual, the RFID device storing personal information of the individual and a face template of the individual;

a database for storing data regarding information of a plurality of individuals;

an RFID tag reader for reading data from the RFID tag;

a facial recognition reader for scanning a face of a person and obtaining a scanned facial image for the person; and

a computer for relating a RFID number read from the RFID tag by the RFID tag reader to specific information stored in the database and retrieving the face template of the person stored in the RFID tag,

wherein the computer compares the retrieved face templates with the facial image and determines if the retrieved face templates matches the facial image.

18. The method of claim 17, wherein the RFID tag further comprises identifying codes that correspond to a format of a face recognition technology.

19. The method of claim 18, wherein the face template is retrieved based on the identifying codes stored in the RFID device.

20. The system of claim 17, wherein the computer is a local computer that is decoupled from a central host computer.

21. The system of claim 17, further comprising a sensor that is activated when the individual passes a sensing line, and the activation of the sensor further activates a reading sequence for the RFID tag reader and the facial recognition reader.

22. The system of claim 17, wherein the personal information stored in the RFID tag includes information regarding the individual and a vehicle in which the individual is driving.

23. The system of claim 17, wherein the facial recognition reader comprises:

a near-IR illuminator for generating near-IR light;

an illumination adjustment module for adjusting the near-IR light based on environmental lighting conditions;

a camera for taking facial images of the individual, and

a computer for processing the facial images to obtain a face image.