METHOD OF AUTHENTICATING A DRIVER'S REAL FACE IN A VEHICLE

• US 20120134547A1
• Filed: 04/20/2011
• Published: 05/31/2012
• Est. Priority Date: 11/26/2010
• Status: Abandoned Application

• Current Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Original Assignee: Hyundai Motor Company (Hyundai Motor Group)
• Inventors: Jung, Ho Choul
• Application Number:
  US13/090,619
• Publication Number:
  US 20120134547A1
• Time in Patent Office: Days
• US Class Current: 382/118
• CPC Class Codes: G06V 20/59 inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions

Abstract

A method of authenticating whether a capture image is a real face of a driver in a vehicle includes first capturing an image of a driver'"'"'s face with a light being turned on in a first image and with a light being turned off in a second image, respectively. Subsequent, a difference image is extracted between the first image data captured with the light being turned on and a second image data captured with the light being turned off. Then a boundary line is extracted from the difference image and a determination is made whether the boundary line is a curve or not. If the boundary line is determined to be a curve, the captured image is determined by a control unit to be the real face of the driver.

Claims

1. A method of authenticating whether a captured face is a real face of a driver in a vehicle, the method comprising:

capturing an image of a driver'"'"'s face with a light being turned on in a first image and with a light being turned off in a second image, respectively;

extracting a difference image between the first image data captured with the light being turned on and the second image data captured with the light being turned off;

extracting a boundary line from the difference image;

determining whether the boundary line is a curve; and

in response to a determining the boundary line is a curve, identifying the captured image as the real face of the driver.

2. The method of claim 1, wherein extracting a boundary line from the difference image comprises:

binarizing the difference image;

performing a labeling operation on the binarized difference image to extract a largest labeling area;

removing noise in the largest labeling area; and

extracting a boundary line of the largest labeling area of which noise has been removed.

3. The method of claim 2, wherein removing noise in the largest labeling area is performed by an opening technique, which is one of one or more morphology methods.

4. The method of claim 2, wherein extracting a boundary line of the largest labeling area is performed by a technique selected from a group consisting of a chain code technique and an edge extraction technique.

5. The method of claim 3, wherein extracting a boundary line of the largest labeling area is performed by a technique selected from a group consisting of a chain code technique and an edge extraction technique.

6. The method of claim 1, wherein identifying the real face comprises,

in response to determining that the boundary line is a straight line instead of a curve, identifying the captured image as a photo of the drivers face.

7. The method of claim 2, wherein identifying the real face comprises,

in response to determining that the boundary line is a straight line instead of a curve, identifying the captured image as a photo of the drivers face.

8. A system of authenticating whether a captured image is a real face of a driver in a vehicle, the system comprising:

A camera configured to capture an image of a driver'"'"'s face with a light being turned on in a first image and with a light being turned off in a second image, respectively; and

a control unit configured to extract a difference image between the first image data captured and the second image data captured;

extract a boundary line from the difference image, determine whether the boundary line is a curve, and identify the captured image as the real face of the driver in response to a determination that the boundary line is a curve.

9. The system of claim 8, wherein the control unit is further configured to binarize the difference image, perform a labeling operation on the binarized difference image to extract a largest labeling area, remove noise in the largest labeling area, and extract a boundary line of the largest labeling area of which noise is removed.

10. The system of claim 9, wherein the control unit is further configured to remove noise in the largest labeling area is performed by an opening technique.

11. The system of claim 9, wherein the extraction of the boundary line of the largest labeling area is performed by a technique selected from a group consisting of a chain code technique and an edge extraction technique.

12. The system of claim 8, wherein the control unit is further configured to identify the captured image as a photo of the drivers face in response to determining that the boundary line is a straight line instead of a curve.