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公开(公告)号：US20220028057A1
公开(公告)日：2022-01-27
申请号：US17356379
申请日：2021-06-23
发明人： Yan Xu , Jiangbo Huang
摘要： Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for authentication. One computer-implemented method includes obtaining a first image, where the first image is an image of an identification (ID) document captured when the ID document is tilted at a first angle relative to a projected light source. A second image is obtained, where the second image is an image of the ID document captured when the ID document is tilted at a second angle relative to the projected light source. The ID document is authenticated based on identification of a first illuminated region and a second illuminated region, where the first illuminated region is associated with the first image and the second illuminated region is associated with the second image, and a comparison between a first position of the first illuminated region and a second position of the second illuminated region.
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公开(公告)号：US11216960B1
公开(公告)日：2022-01-04
申请号：US17336567
申请日：2021-06-02
发明人： Jiangbo Huang , Yan Xu
摘要： Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for image processing. One computer-implemented method includes determining a rotated angle of an identification (ID) document image, where the rotated angle corresponds to an angle between a bottom edge of the ID document image and an x-axis. The ID document image is rotated based on the rotated angle, where an angle is defined between the bottom edge of the rotated ID document image and the x-axis, and where a value of the angle is within a predefined range. Image regression is performed on the rotated ID document image to obtain coordinates of four corner points of the rotated ID document image. Image alignment is performed on the rotated ID document image based on the coordinates of four corner points of the rotated ID document image.
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公开(公告)号：US11295437B2
公开(公告)日：2022-04-05
申请号：US17356379
申请日：2021-06-23
发明人： Yan Xu , Jiangbo Huang
摘要： Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for authentication. One computer-implemented method includes obtaining a first image, where the first image is an image of an identification (ID) document captured when the ID document is tilted at a first angle relative to a projected light source. A second image is obtained, where the second image is an image of the ID document captured when the ID document is tilted at a second angle relative to the projected light source. The ID document is authenticated based on identification of a first illuminated region and a second illuminated region, where the first illuminated region is associated with the first image and the second illuminated region is associated with the second image, and a comparison between a first position of the first illuminated region and a second position of the second illuminated region.
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公开(公告)号：US11361593B2
公开(公告)日：2022-06-14
申请号：US17353481
申请日：2021-06-21
发明人： Yan Xu
摘要： Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for face anti-spoofing. One computer-implemented method includes receiving, by a server and from a user device, a plurality of images of a user face, each of the plurality of images corresponding to a facial expression performed by a user in response to each interaction challenge of a plurality of interaction challenges. The plurality of images are concatenated into a concatenated image. A convolutional neural network (CNN) classifier is used to obtain a confidence score for the concatenated image. A liveness of the user face is determined based on a comparison of the confidence score and a threshold value.
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公开(公告)号：US20220067413A1
公开(公告)日：2022-03-03
申请号：US17353481
申请日：2021-06-21
发明人： Yan Xu
摘要： Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for face anti-spoofing. One computer-implemented method includes receiving, by a server and from a user device, a plurality of images of a user face, each of the plurality of images corresponding to a facial expression performed by a user in response to each interaction challenge of a plurality of interaction challenges. The plurality of images are concatenated into a concatenated image. A convolutional neural network (CNN) classifier is used to obtain a confidence score for the concatenated image. A liveness of the user face is determined based on a comparison of the confidence score and a threshold value.
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