Payment Card OCR With 3D Verification for Fraud Detection
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Solution Overview
Problem
The challenge of entering credit card information on mobile devices with small screens and keyboards is cumbersome and prone to errors, especially when multiple cards are used, complicating mobile payments and increasing the risk of fraud.
Innovation Solution
A character recognition system that uses optical character recognition (OCR) and computer vision to generate 3D models of payment instruments, allowing automatic image capture and comparison with stored data to verify transactions and prevent fraud, eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual credit card information entry is used on mobile devices, then users can input payment data, but the process becomes cumbersome and error-prone due to small screen size and keyboard interface
Solution Approach 1:
The patent replaces the mechanical manual entry process (typing on keyboard) with an optical recognition system that uses camera imaging and OCR technology to automatically capture and recognize payment instrument information, eliminating the need for manual typing and thereby improving both ease of operation and accuracy
Solution Approach 2:
The system creates an optical copy (image) of the payment instrument using the device camera, then extracts information from this copy through OCR processing, replacing the need for manual transcription and reducing errors while simplifying the user interaction
2Adaptability or versatility
If multiple credit cards are stored and used for purchases, then payment flexibility increases, but information entry difficulties are multiplied and fraud risk increases
Solution Approach 1:
The system enables automatic identification and selection of payment instruments through optical recognition and comparison technology, allowing the device to autonomously manage multiple cards by comparing captured images against stored reference images, thereby reducing the complexity of managing multiple payment instruments while maintaining flexibility
Solution Approach 2:
The system performs preliminary actions by pre-storing reference images and characteristics of multiple payment instruments, then automatically comparing newly captured images against these pre-stored references to identify and select the appropriate card, eliminating the need for manual selection and simplifying multi-card management
3Reliability
If optical character recognition and 3D modeling are implemented, then security and automation improve, but system complexity increases
Solution Approach 1:
The patent transitions from traditional 2D OCR recognition to 3D modeling of payment instruments by capturing images from multiple perspectives and generating three-dimensional representations, adding a spatial dimension to the recognition process that enhances security and accuracy while managing system complexity through structured processing
Data Source
AI summary
Techniques described herein are directed to generation and use of a system that allows a payment service to read payment objects, onboard users, and detect fraud using data from the payment objects. The systems and methods may include receiving instructions to obtain images of a payment instrument and generating data representing those images, which may include a 3D model of the payment instrument. A comparison of the generated data and previously stored data may be performed and the results of this comparison may be utilized to determine a likelihood that a fraudulent event is occurring with respect to the payment instrument.