Wells Fargo Bank, N.a.

Ramakrishna Bejjanki

Ramanathan Ramanathan

Rameshchandra Bhaskar Ketharaju

Sumanth Kumar Charugundla

Prasanna Kumar Ammiraju

Potentially fraudulent documents can be identified automatically and flagged for further review. Document fraud detection can include a number of fraud detection tests, where if the document fails any of the tests, the document can be flagged for further review. Various tests can be performed that seek to determine whether a document has been altered. In one instance, a financial instrument can be scanned and analyzed to identify one or more layers associated with the financial instrument from a scanned representation, and a check of transaction details can be triggered when the financial instrument is associated with multiple layers.

Document fraud detection

Systems and methods provide for a document fraud detection system for identifying fraudulent documents. The document fraud detection system can include up to three steps of fraud detection, where if the document fails any of the three steps, the document can be flagged for further review. In another embodiment, the document fraud detection system can score each of the three tests, where the scores represent the likelihood that the document is fraudulent. If the combined score satisfies a predetermined criterion, the document can be flagged as potentially fraudulent. The three tests can include analyzing a scanned image of the document and comparing to other similar documents to determine if there have been any alterations. The second test can compare indents to previous documents, and the third test can analyze chemical and biometric factors that may indicate whether the document has been altered.

Systems and methods provide for a document fraud detection system for identifying fraudulent documents. The document fraud detection system can include up to three steps of fraud detection, where if the document fails any of the three steps, the document can be flagged for further review. In another embodiment, the document fraud detection system can score each of the three tests, where the scores represent the likelihood that the document is fraudulent. If the combined score satisfies a predetermined criterion, the document can be flagged as potentially fraudulent. The three tests can include analyzing an scanned image of the document and comparing to other similar documents to determine if there have been any alterations. The second test can compare indents to previous documents, and the third test can analyze chemical and biometric factors that may indicate whether the document has been altered.

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Hyderabad Telangana, India

Ramakrishna Bejjanki