Abstract: The disclosure includes a system and method for fake signature detection including identifying, using one or more processors, within a document image a signature portion, the signature portion representing a signature; applying, using the one or more processors, one or more fake signature detection models to the signature portion; determining, using the one or more processors and the one or more fake signature detection models, whether the signature represented in the signature portion is a fake signature; and presenting, using the one or more processors, the determination.

Abstract: The disclosure includes a system and method for obtaining transaction data associated with a transaction under test including image data associated with a first image; generating a set of transaction parts including a first transaction part and a second transaction part; generating a first embedding; obtaining a first result set based on a first transaction part comprising a first set of embeddings associated with a first set of prior transactions; obtaining a second result set based on a second transaction part associated with a second set of prior transactions; generating a mini-graph associated with the transaction under test; and classifying, using a first machine learning model, whether the mini-graph associated with the transaction under test is indicative of fraud.

Abstract: The disclosure includes a system and method for fake signature detection including identifying, using one or more processors, within a document image a signature portion, the signature portion representing a signature; applying, using the one or more processors, one or more fake signature detection models to the signature portion; determining, using the one or more processors and the one or more fake signature detection models, whether the signature represented in the signature portion is a fake signature; and presenting, using the one or more processors, the determination.