System and method for credential authentication
US-10474891-B2 · Nov 12, 2019 · US
US10783369B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10783369-B2 |
| Application number | US-202016736962-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 8, 2020 |
| Priority date | Oct 20, 2017 |
| Publication date | Sep 22, 2020 |
| Grant date | Sep 22, 2020 |
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Disclosed in the application are document verification and identity verification methods and devices. A computer-implemented document verification method comprises: obtaining an image of a to-be-verified document; and verifying whether an anti-counterfeiting identifier exists in the image; verifying a source of the image; and obtaining a verification result for the to-be-verified document based on the verification of the anti-counterfeiting identifier and the verification of the source of the image. A computer-implemented identity verification method comprises: obtaining an image of an identity document of a to-be-verified user; obtaining a first verification result for the identity document based on the image of the identity document; verifying authenticity of identity information in the image of the identify document to obtain a second verification result; and determining an identity verification result for the to-be-verified user based on the first verification result and the second verification result.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented document verification method, comprising: obtaining an image of a to-be-verified document; providing the image as input to a trained classification model; obtaining an output of the trained classification model, wherein the output represents a probability at which the image passes an anti-counterfeiting identifier verification; verifying whether an anti-counterfeiting identifier exists in the image based on the output of the trained classification model; performing first verification on the image to determine a probability at which the image is from a screen print; performing second verification on the image to determine a probability at which the image is from a copy; determining a probability at which the image is from a physical document based on the probability at which the image is from a screen print and the probability at which the image is from a copy; verifying a source of the image based on the probability at which the image is from a physical document; and obtaining a verification result for the to-be-verified document based on the verifying of the anti-counterfeiting identifier and the verifying of the source of the image. 2. The method according to claim 1 , wherein verifying whether an anti-counterfeiting identifier exists in the image comprises: determining a type of anti-counterfeiting identifier corresponding to a type of the to-be-verified document; and determining a probability at which an anti-counterfeiting identifier corresponding to the determined type of anti-counterfeiting identifier exists in the image. 3. The method according to claim 2 , wherein the type of anti-counterfeiting identifier comprises at least one of watermark text, micro-text, shading lines, gravure printing, color cast, anti-counterfeiting secret marks, or fonts. 4. The method according to claim 1 , wherein verifying a source of the image comprises: analyzing data of the image to determine a probability at which the image is from a physical document. 5. The method according to claim 4 , wherein analyzing data of the image to determine a probability at which the image is from a physical document comprises: performing image recognition processing on data of an individual frame in the image. 6. The method according to claim 4 , wherein analyzing data of the image to determine a probability at which the image is from a physical document comprises: obtaining at least two types of images of the to-be-verified document; performing differencing processing on data of the at least two types of images to obtain image difference; and using the image difference as an input to a pre-established classification model, the pre-established classification model being trained to output a verification result of the source of the image based on the input image difference. 7. The method according to claim 4 , wherein verifying an anti-counterfeiting identifier in the image comprises: determining a type of anti-counterfeiting identifier corresponding to a type of the to-be-verified document; determining a probability at which an anti-counterfeiting identifier corresponding to the determined type of anti-counterfeiting identifier exists in the image; and wherein obtaining a verification result for the to-be-verified document based on the verifying of the anti-counterfeiting identifier and the verifying of the source of the image comprises: determining the verification result based on the probability at which an anti-counterfeiting identifier corresponding to the determined type of anti-counterfeiting identifier exists in the image and the probability at which the image is from a physical document. 8. The method according to claim 1 , wherein verifying a source of the image comprises: collecting a background image before or after obtaining the image of the to-be-verified document; verifying the image of the to-be-verified document based on the background image to determine whether the image of the to-be-verified document and the background image are from a same photographing scene. 9. The method according to claim 8 , wherein verifying the image of the to-be-verified document based on the background image to determine whether the image of the to-be-verified document and the background image are from a same photographing scene comprises: comparing a background region in the image of the to-be-verified document with the background image to determine an overlapping degree between the image of the to-be-verified document and the background image, the background region in the image of the to-be-verified document being a region outside a region of the to-be-verified document in the image; and determining whether the image of the to-be-verified document and the background image are from the same photographing scene based on the overlapping degree. 10. The method according to claim 9 , wherein comparing a background region in the image of the to-be-verified document with the background image to determine an overlapping degree between the image of the to-be-verified document and the background image comprises: comparing the background region in the image of the to-be-verified document with the background image based on first position information of a gyroscope of a device when the device collects the image of the to-be-verified document and second position information of the gyroscope of the device when the device collects the background image. 11. A document verification device, comprising: a hardware processor; and a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform operations comprising: obtaining an image of a to-be-verified document; providing the image as input to a trained classification model; obtaining an output of the trained classification model, wherein the output represents a probability at which the image passes an anti-counterfeiting identifier verification; verifying whether an anti-counterfeiting identifier exists in the image based on the output of the trained classification model; performing first verification on the image to determine a probability at which the image is from a screen print; performing second verification on the image to determine a probability at which the image is from a copy; determining a probability at which the image is from a physical document based on the probability at which the image is from a screen print and the probability at which the image is from a copy; verifying a source of the image based on the probability at which the image is from a physical document; and obtaining a verification result for the to-be-verified document based on the verifying of the anti-counterfeiting identifier and the verifying of the source of the image. 12. The document verification device according to claim 11 , wherein the verifying whether an anti-counterfeiting identifier exists in the image comprises: determining a type of anti-counterfeiting identifier corresponding to a type of the to-be-verified document; and determining a probability at which an anti-counterfeiting identifier corresponding to the determined type of anti-counterfeiting identifier exists in the image. 13. The document verification device according to claim 12 , wherein the type of anti-counterfeiting identifier comprises at least one of watermark text, micro-text, shading lines, gravure printing, color cast, anti-counterfeiting secret marks, or fonts. 14. The document verification device according to claim 11 , wherein the verifying a source of the image comprises: analyzing data of the image to determine a
using watermarks · CPC title
Document-oriented image-based pattern recognition · CPC title
based on a marking or identifier characterising the area · CPC title
Recognising image objects characterised by unique random patterns · CPC title
Classification techniques · CPC title
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