Dynamic Check Image Registry for Adaptive Fraud Detection
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Solution Overview
Problem
Conventional banking systems that process electronic images of checks have static Check Identity Records (CIRs), which compromise fraud detection confidence over time due to the inability to adapt to normal variations in check features.
Innovation Solution
A system and method that includes a Check Image Record (CIR) database to store feature information from multiple reference checks, a processor to extract and compare features from new checks, and update the CIR dynamically to maintain fraud detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static Check Identity Record (CIR) database is used to store feature information from reference checks, then the system can maintain a stable fraud detection baseline, but the fraud detection confidence deteriorates over time due to inability to adapt to normal variations in check features
Solution Approach 1:
The patent applies the Dynamics principle by transforming the static CIR database into a dynamic one that automatically updates with new check images. The system continuously incorporates newly processed checks into the CIR, allowing the fraud detection baseline to evolve and adapt to normal variations in check features over time, thereby maintaining high fraud detection confidence without false positives
2Reliability
If multiple reference check images are stored to cover normal variations, then the fraud detection accuracy is improved, but the device complexity increases due to managing and comparing multiple images
Solution Approach 1:
The patent applies the Merging principle by consolidating multiple reference check images into a single unified CIR database structure. Instead of managing separate image files, the system merges the essential feature information from multiple checks into one integrated database that can be efficiently queried and updated, reducing management complexity while maintaining the ability to account for normal variations
Solution Approach 2:
The patent applies the Copying principle by creating a simplified digital representation (CIR) that captures the essential features of multiple reference checks. Rather than storing and processing complete high-resolution images, the system uses copied feature data that preserves the necessary information for fraud detection while significantly reducing storage and processing requirements
Data Source
AI summary
A system comprising: a check Image Record (CIR) database configured to store, for each of a plurality of accounts, a CIR, wherein each CIR comprises feature information related to features extracted from a plurality of reference checks associated with the associated account of the plurality of accounts; memory configured to store instructions; and a processor coupled with the CIR database and the memory, the processor configured to run the instructions, which cause the processor to: receive an image of a test check associated with an account of the plurality of accounts, extract feature information from the image, compare the features with the feature information stored in the CIR database for the account associated with the test check, generate a fraud score, and update each CIR by determining.