Identity document validation using biometric image data

US10489643B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10489643-B2
Application numberUS-201715859115-A
CountryUS
Kind codeB2
Filing dateDec 29, 2017
Priority dateDec 30, 2016
Publication dateNov 26, 2019
Grant dateNov 26, 2019

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

Official abstract text for this publication.

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.

First claim

Opening claim text (preview).

What is claimed is: 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 o

Assignees

Inventors

Classifications

  • Layout analysis of documents structured with printed lines or input boxes, e.g. business forms or tables · CPC title

  • G06F21/32Primary

    using biometric data, e.g. fingerprints, iris scans or voiceprints · CPC title

  • Physics · mapped topic

  • Physics · mapped topic

  • Physics · mapped topic

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Frequently asked questions

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What does patent US10489643B2 cover?
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 o…
Who is the assignee on this patent?
Morphotrust Usa Llc
What technology area does this patent fall under?
Primary CPC classification G06F21/32. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Nov 26 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).