# US 10,769,263 B1 · Certificate verification > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,769,263 B1 - Document ID: US10769263B1 - Status: Granted - Kind: B1 - Application number: 16/807,914 - Filed: 2020-03-03 - Granted: 2020-09-08 - Earliest claimed: 2019-05-07 - Assignees: Alibaba Group Holding Limited - Applicants: Alibaba Group Holding Limited - Inventors: Mingyu Guo - Web page: https://patentgrep.com/patent/US10769263B1 ## CPC - G06F 21/33: using certificates - G06N 5/04: Inference or reasoning models - G06T 7/001: {using an image reference approach} - G06T 7/136: involving thresholding - G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract A computer-implemented certificate verification method includes: obtaining, by a certificate verification module, at least two images of a certificate, in which 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 include an image of a light-reflective coating of the certificate; and determining, based on the at least two target images, a probability that the certificate is an original. ## Claims ### Claim 1 A computer-implemented certificate verification method, comprising: obtaining, by a certificate verification module, 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 an image of a light-reflective coating of the certificate; extracting values corresponding to the light-reflective coating from the at least two target images; performing normalization processing on the values to obtain a normalized value corresponding to the light-reflective coating; and determining, based on the normalized value and a predetermined decision policy, a 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. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the different acquisition conditions comprise at least one of: different acquisition angles and different lighting environments. ### Claim 3 (depends on 1) 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. ### Claim 4 (depends on 1) 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. ### Claim 5 (depends on 1) 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. ### Claim 6 (depends on 1) 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 normalized value, and the predetermined decision policy, the probability that the certificate is an original. ### Claim 7 A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising: obtaining, by a certificate verification module, 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 an image of a light-reflective coating of the certificate; extracting values corresponding to the light-reflective coating from the at least two target images; performing normalization processing on the values to obtain a normalized value corresponding to the light-reflective coating; and determining, based on the normalized value and a predetermined decision policy, a 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. ### Claim 8 (depends on 7) The computer-readable medium of claim 7, wherein the different acquisition conditions comprise at least one of: different acquisition angles and different lighting environments. ### Claim 9 (depends on 7) The computer-readable medium of claim 7, wherein obtaining the at least two images of the certificate comprises: obtaining the at least two images from a video of the certificate. ### Claim 10 (depends on 7) The computer-readable medium of claim 7, 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. ### Claim 11 (depends on 7) The computer-readable medium of claim 7, 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. ### Claim 12 (depends on 7) The computer-readable medium of claim 7, 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 normalized value, and the predetermined decision policy, the probability that the certificate is an original. ### Claim 13 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, perform one or more operations comprising: obtaining, by a certificate verification module, 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 an image of a light-reflective coating of the certificate; extracting values corresponding to the light-reflective coating from the at least two target images; performing normalization processing on the values to obtain a normalized value corresponding to the light-reflective coating; and determining, based on the normalized value and a predetermined decision policy, a 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. ### Claim 14 (depends on 13) The computer-implemented system of claim 13, wherein the different acquisition conditions comprise at least one of: different acquisition angles and different lighting environments. ### Claim 15 (depends on 13) The computer-implemented system of claim 13, wherein obtaining the at least two images of the certificate comprises: obtaining the at least two images from a video of the certificate. ### Claim 16 (depends on 13) The computer-implemented system of claim 13, 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. ### Claim 17 (depends on 13) The computer-implemented system of claim 13, 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. ### Claim 18 (depends on 13) The computer-implemented system of claim 13, 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 normalized value, and the predetermined decision policy, the probability that the certificate is an original.