Electronic Transfer Instrument Validation Using OCR and Image Segmentation
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Solution Overview
Problem
Conventional resource transfer methods require manual processing of transfer instruments, leading to delayed detection of inconsistencies or errors, which can cause electronic transfers to fail, and expose sensitive data as human-readable characters vulnerable to unauthorized use.
Innovation Solution
The system captures image data using a camera or scanner to automatically validate and correct transfer instruments in real-time, encoding data to be non-human readable, and utilizes neural networks for image processing and segmentation to enhance security and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processing of transfer instruments is used, then human-readable data is easy to process, but error detection is delayed and security is compromised
Solution Approach 1:
The patent replaces manual mechanical processing with automated optical character recognition (OCR) systems and machine learning algorithms. Image capture devices photograph transfer instruments, and neural networks automatically extract and validate data, eliminating manual handling delays and errors while maintaining security through automated non-human readable encoding verification.
Solution Approach 2:
The patent creates digital copies of transfer instruments through image capture and OCR processing. Instead of manually reading physical documents, the system photographs the instrument and generates machine-encoded digital representations, enabling automated validation and error detection while preserving the original document's information.
2Object-affected harmful factors
If data is encoded in non-human readable form, then security is enhanced, but data processing complexity increases
Solution Approach 1:
The patent introduces neural networks and OCR systems as intermediary components between the encoded data and human users. These intermediaries automatically decode and validate the non-human readable data, allowing security through encoding while eliminating the need for humans to directly process complex encoded formats. The intermediary handles the complexity, leaving users with simple verification tasks.
3Loss of information
If multiple images are captured manually, then complete data capture is achieved, but user burden and processing time increase
Solution Approach 1:
The patent enables the system to automatically capture multiple images and select the optimal one without requiring user intervention. The image capture device takes multiple photographs, and machine learning algorithms automatically evaluate them to identify the clearest, most complete image, eliminating the need for users to manually review and select images while ensuring complete data capture.
Solution Approach 2:
The patent performs preliminary image capture and evaluation before user review. Multiple images are captured and automatically assessed for quality and completeness, with the best image selected and processed ahead of time. This preliminary automated processing reduces user burden by eliminating manual image selection while ensuring complete data is captured.
Data Source
AI summary
Disclosed are systems and methods for generating electronic instruments that implement electronic transfers. The system converts instruments to an electronic format using an imaging source. The image data is processed to determine content elements and segments of the electronic transfer instrument and to extract transfer data. The transfer data is validated to facilitate secure, accurate execution of the electronic transfer.