Remote Identity Validation with Threshold-Based Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing Know-Your-Customer (KYC) process is inefficient in validating remote user identities, particularly due to strict regulations that inhibit remote account verification and are prone to fraudulent activities, limiting access for users without physical proximity to verification sites.
Innovation Solution
The method employs visual analytics to validate remote user identities by retrieving and matching real-time photos and signatures against digital identification card data, using thresholds for image and signature matching, and background verification, enabling remote KYC processes through a software application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional in-person KYC process is used, then identity verification reliability is improved, but user accessibility and operational convenience deteriorate due to strict physical proximity requirements
Solution Approach 1:
The patent creates digital copies of identification documents (driver's licenses, passports) and uses image processing to extract and verify key features. The system captures real-time images of users holding their ID cards and compares them against database records, replacing the need for physical presence at verification sites while maintaining security through multiple verification layers including OCR, barcode/QR code scanning, and facial recognition.
Solution Approach 2:
The patent replaces manual in-person verification processes with automated digital systems. Optical character recognition (OCR) technology extracts text from ID card images, barcode and QR code scanners automatically read encoded information, and algorithmic comparison methods verify user photos against database records. This substitution of mechanical human verification with automated digital processing enables remote operation while maintaining or improving verification accuracy.
2Ease of operation
If remote verification methods are implemented, then user accessibility is improved, but fraud prevention capability deteriorates due to relaxed verification controls
Solution Approach 1:
The patent divides the verification process into multiple independent segments that collectively provide robust fraud prevention. These segments include: (1) capturing real-time user images, (2) extracting text and features from ID card images using OCR, (3) scanning and decoding barcodes/QR codes, (4) comparing extracted data against database records, (5) verifying photo matches between user and ID card, and (6) checking expiration dates and validity. Each segment acts as an independent verification layer, and all must succeed for verification to complete, preventing fraud through cumulative validation.
Solution Approach 2:
The patent performs preliminary verification actions before completing the KYC process. The system pre-loads and stores verified identification data in databases, pre-extracts key features from ID cards during initial capture, and pre-compares user photos against database records. Expiration dates and validity periods are checked in advance. This preliminary processing enables rapid fraud detection and allows the system to reject suspicious applications before they complete the verification workflow, enhancing security while maintaining user convenience.
Data Source
AI summary
A method for validating a remote user's identity comprises retrieving a user's photo and a user's signature from a digital associated identification card; requesting a real-time photo set, wherein the real-time photo set includes a first photo and a second photo; requesting a real-time written signature with the requested real-time photo set; signature matching the real-time written signature against the user's signature of the digital associated identification card; background matching a background in the first photo of the real-time photo set against a background in the second photo of the real-time photo set; user matching an image of the user from the first photo against the user's photo from the digital associated identification card; and validating the user's identity in response to determining that the signature matching satisfies a first threshold, the background matching satisfies a second threshold, and the user matching satisfies a third threshold.