Automated Fraudulent Document Detection
AssigneeLendingClub Bank, National Association
InventorsAnton Mobley, Jixin Li, Nickolaus Mueller
Life of this patent
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Abstract
Techniques are disclosed for determining the authenticity of a digital-origin document based, at least in part, on the code of the document. By determining authenticity based on the code of the document, authentication may take into account several features that are not detectable on the rendered image of a digital-origin document. The document class of a target document is initially determined. Anomalies are then detected in the code using various detectors, including but not limited to metadata-based detectors and content-based detectors. The output of the detectors may be combined to generate a document anomaly score that indicates likelihood that the document is not authentic.
Claims17
A method comprising:
- receiving, at a document authentication system, a captured-image that includes a region that depicts a target document;
- wherein the document authentication system includes a set of one or more detectors;
- wherein the set of one or more detectors includes a common-surrounding-content detector;
- identifying, by the document authentication system, target surrounding-content corresponding to the captured-image, wherein the target surrounding-content is content, corresponding to the captured-image;
- using the common-surrounding-content detector, the document authentication system performing a comparison of the target surrounding-content to previously stored surrounding-content data;
- and
- based at least in part on the comparison, the document authentication system generating a document anomaly score for the target document that indicates a likelihood that the target document is authentic;
- wherein the method is performed by one or more computing devices.
Dependencies are inferred from the claim text.