Methods combining multiple frames of image data

• US 8,126,272 B2
• Filed: 03/17/2008
• Issued: 02/28/2012
• Est. Priority Date: 05/02/2000
• Status: Expired due to Term

• Current Assignee: Digimarc Corporation
• Original Assignee: Digimarc Corporation
• Inventors: Carr, J. Scott, Bradley, Brett Alan, Rhoads, Geoffrey B.
• Primary Examiner(s): Lu, Tom Y
• Application Number:
  US12/050,000
• Publication Number:
  US 20080181450A1
• Time in Patent Office: 1,443 Days
• Field of Search: 382/100.181, 382/284
• US Class Current: 382/181
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/1448 based on markings or identifiers characterising the document or the area
• CPC Class Codes: G07D 7/0047 using checkcodes, e.g. coded numbers derived from serial number and denomination
• CPC Class Codes: G07D 7/005 Testing security markings invisible to the naked eye, e.g. verifying thickened lines or unobtrusive markings or alterations

Abstract

In one embodiment a document authentication station, for use with passports or the like, includes a 2D image sensor (e.g., CCD- or CMOS-based video camera), and a computer device. The image sensor produces produce image data corresponding to a presented document. From this image data, the computer extracts two or more identification data. One is a digital watermark. The other can be a bar code, data glyphs, OCR data, etc. The processor then proceeds to check that the two identification data correspond in an expected fashion. If not, the document is flagged as suspect or fake. Reliability of detection can be enhanced by processing plural frames of data from the image sensor before issuing a result.

Claims

1. A method for processing printed subjects, the method comprising:

capturing, via an optical capture device, a first set of image data that represents a text-bearing physical object;

capturing, via the optical capture device, a second set of image data that represents the text-bearing physical object, wherein the second set of image data is different than the first set of image data;

identifying a portion of one of the first or second sets of image data that is unreliable for recognizing text from the text-bearing physical object; and

using a software-configured processing, via a processor, the first and second sets of image data to recognize text therefrom;

wherein the processing takes into consideration that a portion of one of the first or second sets of image data is unreliable.

2. The method of claim 1, wherein the identifying comprises identifying a portion of at least one of the first or second sets of image data that suffers from glare.

3. The method of claim 1, wherein the identifying comprises identifying a portion of at least one of the first or second sets of image data that is not in focus.

4. The method of claim 1, wherein the processing comprises generating a new set of image data from the first and second sets of image data, taking into consideration that a portion of one of the first or second sets of image data is unreliable.

5. The method of claim 4, further comprising generating a composite set of image data, wherein the composite set of image data omits data from the portion of one of the first or second sets of image data identified as unreliable.

6. The method of claim 1, further comprising sensing digital watermark data from the text-bearing physical object, and using the digital watermark data in conjunction with the recognized text to make a decision concerning the text-bearing physical object, wherein both the capturing and sensing make use of a digital video camera that captures successive frames of image data, and wherein the text-bearing physical object comprises a photo identification document.

7. The method of claim 6, further comprising determining if the digital watermark data and the recognized text correspond in an expected fashion and, if not, flagging the photo identification document as suspect.

12. The method of claim 1, wherein the identifying a portion of one of the sets of image data that is unreliable is performed by processor.

16. The method of claim 1, wherein the capturing a first set of image data is performed at a first time, and wherein the capturing a second set of image data is performed at a second time different from the first time.

8. A method for processing printed subjects, the method comprising:

capturing, via an optical capture device, a first set of image data that represents a text-bearing physical object;

capturing, via the optical capture device, a second set of image data that represents the text-bearing physical object, wherein the second set of image data is different than the first set of image data;

identifying a region in the first set of image data that is relatively more reliable for recognizing text than a corresponding region of the second set of image data;

identifying a region in the second set of image data that is relatively more reliable for recognizing text than another corresponding region of the first set of image data;

combining image data from the reliable region in the first set of image data with image data from the reliable region in the second set of image data; and

performing, via a processor, an optical character recognition operation to recognize text from the combined image data.

9. The method of claim 8, further comprising sensing digital watermark data from the text-bearing physical object, and using the digital watermark data in conjunction with the recognized text to make a decision concerning the text-bearing object.

10. The method of claim 9, further comprising determining if the digital watermark data and the recognized text correspond in an expected fashion and, if not, flagging a document associated with the text-bearing physical object as suspect.

11. The method of claim 9, further comprising consulting a database to obtain additional data corresponding to at least a portion of the digital watermark data, and comparing the additional data with data corresponding to the recognized text.

13. The method of claim 8, wherein the identifying a portion of one of the sets of image data that is unreliable is performed by processor.

14. The method of claim 8, wherein the identifying a region in the first set if image data comprises identifying a region in the first set of data for which a corresponding region in the second set of data suffers from glare.

15. The method of claim 8, wherein the identifying a region in the first set of image data comprises identifying a region in the first set of data for which a corresponding region in the second set of data is out of focus.

17. The method of claim 8, wherein the capturing a first set of image data is performed at a first time, and wherein the capturing a second set of image data is performed at a second time different from the first time.

18. A non-transitory computer-readable medium having instructions stored thereon, the instructions comprising:

instructions for capturing a first set of image data that represents a text-bearing physical object;

instructions for capturing a second set of image data that represents the text-bearing physical object, wherein the second set of image data is different than the first set of image data;

instructions for identifying a portion of one of the first or second sets of image data that is unreliable for recognizing text from the text-bearing physical object; and

instructions for processing the first and second sets of image data to recognize text therefrom, wherein the processing takes into consideration that a portion of one of the first or second sets of image data is unreliable.

19. A non-transitory computer-readable medium having instructions stored thereon, the instructions comprising:

instructions for capturing a first set of image data that represents a text-bearing physical object;

instructions for capturing a second set of image data that represents the text-bearing physical object, wherein the second set of image data is different than the first set of image data;

instructions for identifying a region in the first set of image data that is relatively more reliable for recognizing text than a corresponding region of the second set of image data;

instructions for identifying a region in the second set of image data that is relatively more reliable for recognizing text than another corresponding region of the first set of image data;

instructions for combining image data from the reliable region in the first set of image data with image data from the reliable region in the second set of image data; and

instructions for performing an optical character recognition operation to recognize text from the combined image data.

20. An apparatus comprising:

an optical capture device configured to;

capture a first set of image data that represents a text-bearing physical object; and

capture a second set of image data that represents the text-bearing physical object, wherein the second set of image data is different than the first set of image data; and

a processor coupled to the optical capture device, wherein the processor is configured to;

identify a portion of one of the first or second sets of image data that is unreliable for recognizing text from the text-bearing physical object; and

process the first and second sets of image data to recognize text therefrom, wherein the processing takes into consideration that a portion of one of the first or second sets of image data is unreliable.

21. An apparatus comprising:

an optical capture device configured to;

capture a first set of image data that represents a text-bearing physical object; and

capture a second set of image data that represents the text-bearing physical object, wherein the second set of image data is different than the first set of image data; and

a processor coupled to the optical capture device, wherein the processor is configured to;

identify a region in the first set of image data that is relatively more reliable for recognizing text than a corresponding region of the second set of image data;

identify a region in the second set of image data that is relatively more reliable for recognizing text than another corresponding region of the first set of image data;

combine image data from the reliable region in the first set of image data with image data from the reliable region in the second set of image data; and

perform an optical character recognition operation to recognize text from the combined image data.