Fraud detection for signed documents
AssigneePaypal, Inc.
InventorsQuan Jin Ferdinand Tang, Jiyi Zhang, Jiazheng Zhang, Shanshan Peng, Jia Wen Lee
Life of this patent
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AssigneePaypal, Inc.
InventorsQuan Jin Ferdinand Tang, Jiyi Zhang, Jiazheng Zhang, Shanshan Peng, Jia Wen Lee
Estimating the term…
Methods and systems are presented for signed document image analysis and fraud detection. An image of a document may be received from a user's device. A first layer of a machine learning engine is used to identify a signature and a name of the user within different areas of the received image. A second layer of the machine learning engine is used to extract a plurality of features from the different areas of the image. The plurality of features includes at least one visual feature representing the signature and at least one textual feature representing the name. A combined feature representation of the signature and the name is generated based on the plurality of features extracted from the image. A third layer of the machine learning engine is used to determine whether the signature of the user has been digitally altered, based on the combined feature representation.
A system comprising:
A method comprising:
A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:
Dependencies are inferred from the claim text.