Cheque Image Masking Using Template Fields and Redacted Snippets
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Solution Overview
Problem
Cheque images containing non-public information are not adequately protected during processing, leading to privacy violations and audit issues in banking environments.
Innovation Solution
A system and method for cheque image data masking, which involves receiving a cheque image and a data file, obtaining a template cheque image and redaction information, generating blank image snippets for sensitive fields, writing sensitive data values to these snippets, and updating the template image with non-sensitive field data to mask sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cheque images with non-public information are used for processing and testing, then testing and regression capabilities are improved, but privacy violations and audit issues occur
Solution Approach 1:
The patent extracts sensitive information from cheque images and replaces it with masked data. The system identifies sensitive fields such as account numbers, customer names, and addresses, then substitutes them with fictitious but realistic-looking data, allowing testing to proceed without exposing actual private information.
Solution Approach 2:
The patent creates copies of cheque images with masked sensitive information. Instead of using original cheque images containing real sensitive data, the system generates replicated versions where sensitive fields are replaced with fictitious data, enabling testing while preserving privacy.
2Productivity
If sensitive data fields in cheque images are accessible to all processing systems, then processing efficiency is improved, but unauthorized access to non-public data occurs
Solution Approach 1:
The patent applies different quality levels to different parts of the cheque image. Sensitive fields receive masked fictitious data while non-sensitive fields retain their original information. This localized approach allows processing systems to operate efficiently on the overall image structure while specific sensitive regions are protected with fictitious data.
Data Source
AI summary
System and method for cheque image data masking are disclosed. In an example, a cheque image and a data file are received, the data file includes data records with values corresponding to sensitive data fields in the cheque image. Further, a template cheque image matching to the cheque image and redacted information associated with the template cheque image are obtained. Furthermore, a blank image snippet is generated for each sensitive data field in the cheque image based on a part of the obtained information about sensitive fields. Moreover, values corresponding to each sensitive field from the input data file are written to the blank image snippet based on the remaining information about sensitive fields. Also, the template cheque image is updated with the image snippet. Data of non-sensitive fields in the cheque image is then copied to the template cheque image, thereby facilitating cheque image data masking.