Cheque Masking Engine Selective Zone Aliasing
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Solution Overview
Problem
Existing methods for masking sensitive information in cheque images, such as randomly masking or overlaying blank images, are ineffective for Quality Assessment (QA) processes and do not allow for selective masking based on user access privileges, leading to unnecessary exposure of sensitive data.
Innovation Solution
A system and method that uses a cheque masking engine to select a cheque template based on metadata, identify sensitive zones, extract characters using OCR or ICR techniques, and alias them using modified bijective functions to generate a new cheque image, masking sensitive information based on user access privileges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all fields of cheque image are masked, then data security is improved, but QA process effectiveness deteriorates
Solution Approach 1:
The patent applies local quality by selectively masking only the sensitive fields (payee name, amount, account number) while leaving non-sensitive fields visible. This is achieved by identifying specific zones containing sensitive information and applying masking operations only to those zones, rather than uniformly masking the entire cheque image. This resolves the contradiction by maintaining QA effectiveness for non-sensitive fields while protecting sensitive data.
2Reliability
If dummy cheques are created for processing, then data security is improved, but processing accuracy deteriorates
Solution Approach 1:
The patent uses copying by creating a masked version of the original cheque image rather than using dummy cheques. The masking process preserves the actual cheque structure, layout, and non-sensitive information while only obscuring sensitive fields. This allows QA processes to work on realistic cheque images with accurate formatting and positioning, maintaining processing accuracy while ensuring data security.
3Reliability
If random masking is applied to sensitive information, then data security is improved, but QA process effectiveness deteriorates
Solution Approach 1:
The patent applies taking out by extracting and removing only the sensitive information from the cheque image while preserving the rest of the cheque structure. The system identifies zones containing sensitive data (payee name, amount, account number) and removes or masks only those specific elements. This allows QA processes to evaluate the cheque's overall structure, formatting, and non-sensitive fields accurately, while sensitive data protection is maintained.
Data Source
AI summary
A method and system masks sensitive fields on a cheque image based one or more access privileges assigned to a user. The method involves receiving a cheque image at a cheque masking engine. A cheque template from one or more cheque templates is selected based on metadata associated with the cheque image. One or more zones of sensitive information associated with the cheque image are identified based on the one or more access privileges assigned to the user and a comparison with the selected cheque template. One or more characters are extracted from the one or more zones of sensitive information. The extracted one or more characters are aliased based on an aliasing rule. Another cheque image is generated by overlaying the one or more zones of sensitive information with the aliased one or more characters.