IP Library Granted Patent US 10,489,643
Granted Patent B2
US 10,489,643 · App. 15/859,115 · Granted Nov 26, 2019

Identity document validation using biometric image data

Inventors: Brian Bertan (Merrick, NY); Brian K. Martin (McMurray, PA)
Assignee: MorphoTrust USA, LLC
G06K9/00449G06F21/32G06K9/00288G06K9/00892G06K2209/01
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Quick Facts
Patent No.
US 10,489,643
App. No.
15/859,115
Granted
Nov 26, 2019
Kind
B2
Abstract

A computer-implemented method is described and includes a computing device receiving an image of an identification document of an individual. The method includes detecting, by the computing device and based on the received image, identifying data about the individual, the identifying data including text fields; and detecting, by the device and based on the received image, biometric attributes of the individual. The method further includes the device determining a first confidence score associated with a first biometric attribute of the individual that is detected by the device; and determining a second confidence score associated with a first text field of the detected identifying data. The first text field can correspond to the first biometric attribute. The method includes the device comparing the first biometric attribute and the first text field using at least the first confidence score and the second confidence score. Based on the comparison, the device can either execute a feedback operation to repeat detection of at least the identifying data and biometric data, or provide an indication associated with the authenticity of the identification document of the individual.

Claims (84)

1. A computer-implemented method comprising:

receiving, by a computing device, an image of an identification document of an individual;

detecting, by the computing device and based on the received image, identifying data about the individual, the identifying data including one or more text fields;

detecting, by the computing device and based on the received image, one or more biometric attributes of the individual;

determining, by the computing device, a first confidence score associated with a first biometric attribute of the individual that is detected by the computing device;

determining, by the computing device, a second confidence score associated with a first text field of the detected identifying data, the first text field corresponding to the first biometric attribute;

comparing, by the computing device, the first biometric attribute and the first text field using at least the first confidence score and the second confidence score; and

based on comparing, providing, by the computing device, an indication associated with the authenticity of the identification document of the individual.

2. The computer-implemented method of claim 1 , wherein the received image of the identification document includes a digital image of the individual and detecting the one or more biometric attributes of the individual, comprises:

executing, by the computing device, program code to analyze physical human features viewable in the digital image; and

identifying, by the computing device, the one or more biometric attributes of the individual based on the analyzed physical human features.

3. The computer-implemented method of claim 2 , wherein the detected one or more biometric attributes of the individual includes at least one of: a height of the individual; eye color of the individual; a hair color of the individual; an age of the individual; or a gender of the individual.

4. The computer-implemented method of claim 3 , wherein determining the first confidence score associated with the first biometric attribute of the individual, comprises:

analyzing, by the computing device, the digital image of the individual; and

based on analyzing, providing, by the computing device, an indication of the extent to which the detected first biometric attribute matches a particular physical human feature of the individual.

5. The computer-implemented method of claim 1 , wherein the identifying data including the one or more text fields corresponds to text describing biometric attributes of the individual; and

detecting, comprises:

using, by the computing device, an optical character recognition (OCR) algorithm to scan and recognize text characters of the one or more text fields.

6. The computer-implemented method of claim 5 , wherein the identification document includes text describing one or more biometric attributes of the individual, and wherein the detected identifying data about the individual is scanned and extracted from the received image of the identification document.

7. The computer-implemented method of claim 6 , wherein determining the second confidence score associated with the first text field, comprises:

analyzing, by the computing device, text characters of the one or more text fields; and

based on analyzing, providing, by the computing device, an indication of the extent to which the first text field of the detected identifying data matches a particular text field of the identification document.

8. The computer-implemented method of claim 1 , further comprising:

processing, by the computing device, the received image of the identification document of the individual, wherein processing enhances a digital characteristic of the identifying data about the individual.

9. The computer-implemented method of claim 1 , wherein receiving the image of the identification document of the individual includes at least one of:

capturing, by the computing device, a digital image of the identification document;

scanning, by the computing device, the identification document; and

receiving, by the computing device, manually entered identifying data about the individual.

10. The computer-implemented method of claim 1 , further comprising:

detecting, by the computing device, at least one encoded data item associated with the identification document of the individual; and

determining, by the computing device, a third confidence score associated with decoded data that corresponds to the detected at least one encoded data item.

11. The computer-implemented method of claim 10 , further comprising:

detecting, by the computing device, a discrepancy between at least the first confidence score and the second confidence score; and

executing a feedback operation that uses at least the first and second confidence scores to perform a subsequent iteration of at least one of:

detecting identifying data about the individual;

detecting one or more biometric attributes of the individual; or

detecting at least one encoded data item associated with the identification document of the individual.

12. An electronic system comprising:

one or more processors; and

a one or more machine-readable storage units for storing instructions that are executable by the one or more processors to cause performance of operations comprising:

receiving, by a computing device, an image of an identification document of an individual;

detecting, by the computing device and based on the received image, identifying data about the individual, the identifying data including one or more text fields;

detecting, by the computing device and based on the received image, one or more biometric attributes of the individual;

determining, by the computing device, a first confidence score associated with a first biometric attribute of the individual that is detected by the computing device;

determining, by the computing device, a second confidence score associated with a first text field of the detected identifying data, the first text field corresponding to the first biometric attribute;

comparing, by the computing device, the first biometric attribute and the first text field using at least the first confidence score and the second confidence score; and

based on comparing, providing, by the computing device, an indication associated with the authenticity of the identification document of the individual.

13. The electronic system of claim 12 , wherein the received image of the identification document includes a digital image of the individual and detecting the one or more biometric attributes of the individual, comprises:

executing, by the computing device, program code to analyze physical human features viewable in the digital image; and

identifying, by the computing device, the one or more biometric attributes of the individual based on the analyzed physical human features.

14. The electronic system of claim 13 , wherein the detected one or more biometric attributes of the individual includes at least one of: a height of the individual; eye color of the individual; a hair color of the individual; an age of the individual; or a gender of the individual.

15. The electronic system of claim 14 , wherein determining the first confidence score associated with the first biometric attribute of the individual, comprises:

analyzing, by the computing device, the digital image of the individual; and

based on analyzing, providing, by the computing device, an indication of the extent to which the detected first biometric attribute matches a particular physical human feature of the individual.

16. The electronic system of claim 12 , wherein the identifying data including the one or more text fields corresponds to text describing biometric attributes of the individual; and

detecting, comprises:

using, by the computing device, an optical character recognition (OCR) algorithm to scan and recognize text characters of the one or more text fields.

17. The electronic system of claim 16 , wherein the identification document includes text describing one or more biometric attributes of the individual, and wherein the detected identifying data about the individual is scanned and extracted from the received image of the identification document.

18. The electronic system of claim 17 , wherein determining the second confidence score associated with the first text field, comprises:

analyzing, by the computing device, text characters of the one or more text fields; and

based on analyzing, providing, by the computing device, an indication of the extent to which the first text field of the detected identifying data matches a particular text field of the identification document.

19. The electronic system of claim 12 , wherein the operations further comprise:

processing, by the computing device, the received image of the identification document of the individual, wherein processing enhances a digital characteristic of the identifying data about the individual.

20. The electronic system of claim 12 , wherein receiving the image of the identification document of the individual includes at least one of:

capturing, by the computing device, a digital image of the identification document;

scanning, by the computing device, the identification document; and

receiving, by the computing device, manually entered identifying data about the individual.

21. The electronic system of claim 12 , wherein the operations further comprise:

detecting, by the computing device, at least one encoded data item associated with the identification document of the individual; and

determining, by the computing device, a third confidence score associated with decoded data that corresponds to the detected at least one encoded data item.

22. The electronic system of claim 21 , wherein the operations further comprise:

detecting, by the computing device, a discrepancy between at least the first confidence score and the second confidence score; and

executing a feedback operation that uses at least the first and second confidence scores to perform a subsequent iteration of at least one of:

detecting identifying data about the individual;

detecting one or more biometric attributes of the individual; or

detecting at least one encoded data item associated with the identification document of the individual.

23. A non-transitory computer storage unit disposed in a data processing device and encoded with a computer program, the program comprising instructions that are executed by one or more processors to cause performance of operations comprising:

receiving, by a computing device, an image of an identification document of an individual;

detecting, by the computing device and based on the received image, identifying data about the individual, the identifying data including one or more text fields;

detecting, by the computing device and based on the received image, one or more biometric attributes of the individual;

determining, by the computing device, a first confidence score associated with a first biometric attribute of the individual that is detected by the computing device;

determining, by the computing device, a second confidence score associated with a first text field of the detected identifying data, the first text field corresponding to the first biometric attribute;

comparing, by the computing device, the first biometric attribute and the first text field using at least the first confidence score and the second confidence score; and

based on comparing, providing, by the computing device, an indication associated with the authenticity of the identification document of the individual.

Assignments (4)
CHANGE OF NAME Recorded Jan 16, 2025
From: MORPHOTRUST USA, INC.
To: MORPHOTRUST USA, LLC
Reel/Frame 069933/0609 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 8, 2025
From: MARTIN, BRIAN KEITH
To: IDEMIA IDENTITY & SECURITY USA LLC
Reel/Frame 069788/0973 →
EMPLOYMENT AGREEMENT/RESTRICTIVE COVENANT AGREEMENT Recorded Jan 8, 2025
From: BERTAN, BRIAN R.
To: MORPHOTRUST USA, INC.
Reel/Frame 069850/0346 →
CHANGE OF NAME Recorded Dec 23, 2022
From: MORPHOTRUST USA, LLC
To: IDEMIA IDENTITY & SECURITY USA LLC
Reel/Frame 062218/0605 →
Continuity (2)
Provisional Application 62440928 · Dec 30, 2016
Related Publication 20180189561A1 · Jul 5, 2018
Cited By (1)
US 12,505,690