Certificate verification

1. A computer-implemented certificate verification method, comprising:

obtaining at least two images of a certificate, wherein the at least two images are acquired under different acquisition conditions;

obtaining, from the at least two images, at least two target images that correspond to respective images of the at least two images and that each comprise a respective image of a light-reflective coating of the certificate;

extracting values corresponding to the light-reflective coating from the at least two target images;

determining, based on the extracted values from the at least two target images, a probability that the certificate is an original;

determining, based on the probability, that the certificate is an original;

in response to determining that the certificate is an original, obtaining, from one of the at least two images, a third target image that comprises identity information;

verifying the identity information online, to determine an authenticity level of the identity information; and

determining an authenticity of the certificate based on the authenticity level of the identity information.

2. The computer-implemented method of claim 1 , wherein the different acquisition conditions comprise at least one of: different acquisition angles and different lighting environments.

3. The computer-implemented method of claim 1 , wherein obtaining the at least two images of the certificate comprises:

obtaining the at least two images from a video of the certificate.

4. The computer-implemented method of claim 1 , wherein obtaining the at least two target images comprises:

performing image binarization processing on the at least two images to obtain binarized images corresponding to the at least two images; and

obtaining the at least two target images from the binarized images.

5. The computer-implemented method of claim 1 , wherein obtaining the at least two target images comprises:

performing image alignment processing on the at least two images to obtained aligned images corresponding to the at least two images; and

obtaining the at least two target images from the aligned images.

6. The computer-implemented method of claim 1 , wherein determining the probability that the certificate is an original comprises:

dividing each of the at least two target images into areas;

comparing corresponding areas between the at least two target images, to obtain comparison scores; and

determining, based on the comparison scores, the probability that the certificate is an original.

7. The computer-implemented method of claim 1 , wherein determining the probability that the certificate is an original comprises:

performing normalization processing on the extracted values to obtain a normalized value corresponding to the light-reflective coating; and

determining, based on the normalized value and a predetermined decision policy, the probability that the certificate is an original, wherein the predetermined decision policy comprises a decision relationship between the normalized value and the probability that the certificate is an original.

8. A non-transitory, computer-readable medium storing one or more instructions that, when executed by a computer system, cause the computer system to perform operations comprising:

obtaining at least two images of a certificate, wherein the at least two images are acquired under different acquisition conditions;

obtaining, from the at least two images, at least two target images that correspond to respective images of the at least two images and that each comprise a respective image of a light-reflective coating of the certificate;

extracting values corresponding to the light-reflective coating from the at least two target images;

determining, based on the extracted values from the at least two target images, a probability that the certificate is an original;

determining, based on the probability, that the certificate is an original;

in response to determining that the certificate is an original, obtaining, from one of the at least two images, a third target image that comprises identity information;

verifying the identity information online, to determine an authenticity level of the identity information; and

determining an authenticity of the certificate based on the authenticity level of the identity information.

9. The non-transitory, computer-readable medium of claim 8 , wherein the different acquisition conditions comprise at least one of: different acquisition angles and different lighting environments.

10. The non-transitory, computer-readable medium of claim 8 , wherein obtaining the at least two images of the certificate comprises:

obtaining the at least two images from a video of the certificate.

11. The non-transitory, computer-readable medium of claim 8 , wherein obtaining the at least two target images comprises:

performing image binarization processing on the at least two images to obtain binarized images corresponding to the at least two images; and

obtaining the at least two target images from the binarized images.

12. The non-transitory, computer-readable medium of claim 8 , wherein obtaining the at least two target images comprises:

performing image alignment processing on the at least two images to obtained aligned images corresponding to the at least two images; and

obtaining the at least two target images from the aligned images.

13. The non-transitory, computer-readable medium of claim 8 , wherein determining the probability that the certificate is an original comprises:

dividing each of the at least two target images into areas;

comparing corresponding areas between the at least two target images, to obtain comparison scores; and

determining, based on the comparison scores, the probability that the certificate is an original.

14. The non-transitory, computer-readable medium of claim 8 , wherein determining the probability that the certificate is an original comprises:

performing normalization processing on the extracted values to obtain a normalized value corresponding to the light-reflective coating; and

determining, based on the normalized value and a predetermined decision policy, the probability that the certificate is an original, wherein the predetermined decision policy comprises a decision relationship between the normalized value and the probability that the certificate is an original.

15. A computer-implemented system, comprising:

one or more computers; and

one or more computer memory devices interoperably coupled with the one or more computers and having tangible, non-transitory, machine-readable media storing one or more instructions that, when executed by the one or more computers, cause the one or more computers to perform one or more operations comprising:

obtaining at least two images of a certificate, wherein the at least two images are acquired under different acquisition conditions;

obtaining, from the at least two images, at least two target images that correspond to respective images of the at least two images and that each comprise a respective image of a light-reflective coating of the certificate;

extracting values corresponding to the light-reflective coating from the at least two target images;

determining, based on the extracted values from the at least two target images, a probability that the certificate is an original;

determining, based on the probability, that the certificate is an original;

in response to determining that the certificate is an original, obtaining, from one of the at least two images, a third target image that comprises identity information;

verifying the identity information online, to determine an authenticity level of the identity information; and

determining an authenticity of the certificate based on the authenticity level of the identity information.

16. The computer-implemented system of claim 15 , wherein the different acquisition conditions comprise at least one of: different acquisition angles and different lighting environments.

17. The computer-implemented system of claim 15 , wherein obtaining the at least two images of the certificate comprises:

obtaining the at least two images from a video of the certificate.

18. The computer-implemented system of claim 15 , wherein obtaining the at least two target images comprises:

performing image binarization processing on the at least two images to obtain binarized images corresponding to the at least two images; and

obtaining the at least two target images from the binarized images.

19. The computer-implemented system of claim 15 , wherein obtaining the at least two target images comprises:

performing image alignment processing on the at least two images to obtained aligned images corresponding to the at least two images; and

obtaining the at least two target images from the aligned images.

20. The computer-implemented system of claim 15 , wherein determining the probability that the certificate is an original comprises:

dividing each of the at least two target images into areas;

comparing corresponding areas between the at least two target images, to obtain comparison scores; and

determining, based on the comparison scores, the probability that the certificate is an original.

21. The computer-implemented system of claim 15 , wherein determining the probability that the certificate is an original comprises:

performing normalization processing on the extracted values to obtain a normalized value corresponding to the light-reflective coating; and

determining, based on the normalized value and a predetermined decision policy, the probability that the certificate is an original, wherein the predetermined decision policy comprises a decision relationship between the normalized value and the probability that the certificate is an original.