Automated Check Stock Verification

Learning about this state-of-the-art fraud prevention technology

Image-Based Check Stock Verification

Ensuring that financial institutions are protected from counterfeits in the modern age

Imaging offers many opportunities for improvements in check fraud detection and provides new powerful and efficient fraud detection tools as well. Image-based check stock verification software combats counterfeit checks by examining the check’s format and features.

Modern products for automated check stock verification use secure filters for detecting the most sophisticated counterfeit checks and image replacement documents (IRDs). State-of-the-art systems developed using image analysis and pattern recognition technology are a secure and powerful filter for detecting even the best counterfeit checks. They provide scrupulous verification of all major preprinted elements on business and personal bank checks and IRDs offering the industry’s highest accuracy and reliability.

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Verifying All Check Objects

Using the latest technological advancements to automate the verification process

The software goes far beyond merely examining each preprinted object on a check and comparing them against corresponding objects on a reference check stock. It scrupulously verifies the full image of a check as well as preprinted objects on a check including headers, such as: check number, date, payee, dollar amount, dollar sign, memo, payor block, and payor bank field.

A combination of multiple forgery detection algorithms analyzes the elements’ content, font type, font size, font spacing, the placement of each item, and relative distances between pairs of blocks, allowing banks to immediately identify even the slightest variations on a given check. Multiple methods of verification—including quantitative analysis, pattern recognition, analytical and geometrical analysis and neural networks help to ensure accuracy.

Verifying Against Reference Checks

Proven methods for automated check stock verification

Advanced technology and methods allow check stock verification systems to work with equal efficiency on images scanned on different transports and reliably compare images, even if the input image presented for verification and the reference image have different resolutions. It also provides unfailing verification dealing with real-life documents having noise, stamps, marks, inscriptions, and other distortions. Due to the advanced optimization algorithms, even a minimally clean portion of an image is sufficient to ensure a reliable comparison.

The position of preprinted elements of checks is verified against reference checks

Automated check stock verification systems have been successfully implemented in many financial institutions and proved their robustness and capability for dealing with the challenges and requirements of real-life applications. They provide flexibility allowing elaborate decision-making schemes, the implementation of different scenarios of interpreting results, and efficient integration with alternative decision tools.