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公开(公告)号：US11544835B2
公开(公告)日：2023-01-03
申请号：US17346821
申请日：2021-06-14
Applicant: TruePic Inc.
Inventor： Oliver Rice , Justin Mark Stayton , Gordon Charles Hughes
Abstract: Systems, computer-implemented methods, and non-transitory machine-readable storage media are provided for detecting recapture attacks of images. One method comprises extracting one or more features from an image captured by a device; applying the one or more features as input to a trained machine learning model, wherein the trained machine learning model outputs a first score based on the extracted features; obtaining metadata of the image; performing a statistical analysis of the metadata of the image; generating a second score based on the statistical analysis of the metadata of the image; and generating a probability that the image is a recapture of an original image based on the first score and the second score.
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公开(公告)号：US11037284B1
公开(公告)日：2021-06-15
申请号：US17146724
申请日：2021-01-12
Applicant: Truepic Inc.
Inventor： Oliver Rice , Justin Mark Stayton , Gordon Charles Hughes
Abstract: Systems, computer-implemented methods, and non-transitory machine-readable storage media are provided for detecting recapture attacks of images. One method comprises extracting one or more features from an image captured by a device; applying the one or more features as input to a trained machine learning model, wherein the trained machine learning model outputs a first score based on the extracted features; obtaining metadata of the image; performing a statistical analysis of the metadata of the image; generating a second score based on the statistical analysis of the metadata of the image; and generating a probability that the image is a recapture of an original image based on the first score and the second score.
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公开(公告)号：US12159442B2
公开(公告)日：2024-12-03
申请号：US18085856
申请日：2022-12-21
Applicant: TruePic Inc.
Inventor： Oliver Rice , Justin Mark Stayton , Gordon Charles Hughes
IPC: G06K9/00 , G06T7/00 , G06V10/40 , G06V10/77 , G06V10/774
Abstract: Systems, computer-implemented methods, and non-transitory machine-readable storage media are provided for detecting recapture attacks of images. One method comprises extracting one or more features from an image captured by a device; applying the one or more features as input to a trained machine learning model, wherein the trained machine learning model outputs a first score based on the extracted features; obtaining metadata of the image; performing a statistical analysis of the metadata of the image; generating a second score based on the statistical analysis of the metadata of the image; and generating a probability that the image is a recapture of an original image based on the first score and the second score.
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