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Image Analysis for Check Fraud Detection

Automatically detect, prevent and reduce losses from counterfeit, altered and forged checks.

Large financial institutions have seen a sharp increase in check fraud over the past three years as illustrated in the latest ABA Deposit Fraud Study:

  • Attempts increased to $15.1 billion in 2018—up from $8.5 billion in 2016
  • Losses increased to $1.3 billion —a rise from $789 million in 2016.

To combat the fraudsters, banks and financial institutions are modernizing their systems to include real-time, image-based capabilities. Image analysis solutions detect the attributes of a check such as check stock, amount, payee, to detect counterfeits, forgeries and alterations. Image analysis, blended with analytics-based solutions, provide a more complete fraud detection and prevention for financial institutions and their customers.

To explore, click the links below:

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Anywhere Fraud Solution

Transaction and image analysis technologies prevent and detect counterfeits, forgeries and alterations in on-us and transit fraud use cases.

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White Paper: Check Fraud Perpetrator Profile Summary

Use cases and fraud profiles of check fraud attempts.

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Modernizing Omnichannel Check Fraud Detection

Exploring payments fraud and image technologies used to fight financial crimes.

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Fraud continues to rise, and tools need to keep up Better fraud detection requires a layered approach Multi-layered tech allows informed decisions on each item We’ve stated many times that there is no single solution that can detect the majority of check fraud. Well, in a recent Jack Henry Fintalk, Bette-Lou Rush notes that “the…

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