eKYC User Authentication with Weighted ID Card Scoring

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing eKYC processes require human intervention to verify the accuracy of extracted identity card information, hindering full automation.

Innovation Solution

A method involving a processor to obtain an ID card image, assign parameter and accuracy scores, set weights based on priority, and calculate an authentication score using AI models for automated user authentication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If eKYC technology is introduced to verify identity information, then authentication speed is improved, but full automation cannot be achieved requiring human agent intervention

Engineering Contradiction:
Improveauthentication speedVSAvoidautomation level
Core Design Contradiction:
SpeedVSExtent of automation

Solution Approach 1:

The patent replaces manual verification processes with an automated scoring system that uses AI/ML models to evaluate ID card images. The system automatically extracts text, verifies parameters, and calculates authentication scores without human intervention, substituting mechanical human verification with automated computational processes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transforms the verification process by changing parameters from binary pass/fail to a multi-dimensional scoring system. It assigns parameter scores, accuracy scores, and weights to different ID card fields, then calculates a comprehensive authentication score. This parameter transformation enables automated decision-making while maintaining verification accuracy.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If manual verification by agents is performed to ensure accuracy, then verification reliability is improved, but processing time increases

Engineering Contradiction:
Improveverification reliabilityVSAvoidprocessing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent substitutes manual agent verification with an automated scoring system that uses trained AI models to assess ID card authenticity. The system reliably verifies parameters such as text extraction accuracy, barcode validity, and parameter consistency without human intervention, maintaining verification reliability while eliminating time loss.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary scoring mechanism that bridges the gap between automated extraction and final verification. The scoring system acts as a mediator that evaluates multiple parameters (parameter score, accuracy score, weights) to produce an authentication score, enabling reliable automated verification without direct human involvement.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If comprehensive parameter verification is performed on all ID card fields, then authentication accuracy is improved, but system complexity increases

Engineering Contradiction:
Improveauthentication accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent manages complexity by transforming comprehensive verification into a structured scoring framework. It assigns specific weights to different parameters (e.g., name, ID number, expiration date) and calculates an overall authentication score. This parameter-based approach maintains high accuracy while organizing complexity into manageable, weighted components.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the verification process into distinct components: text extraction, parameter identification, scoring assignment, weight application, and final authentication score calculation. This segmentation divides the complex verification task into manageable modules, each handling specific aspects of ID card validation, thereby reducing overall system complexity while maintaining comprehensive verification.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12373530B2Method for authenticating user for eKYC automation
Publication Date: 2025.07.29 FULLSTACK INC
  • US12373530B2 patent drawing
  • US12373530B2 patent drawing
  • US12373530B2 patent drawing

AI summary

A method for authenticating a user, which is performed by at least one processor, includes obtaining an image an identity (ID) card, assigning a parameter score to at least one parameter included in the image of the ID card, assigning an accuracy score to the at least one parameter extracted through character recognition, based on the image of the ID card, setting a first weight for the parameter score and a second weight for the accuracy score, setting a weight related to a priority for the at least one parameter, and calculating an authentication score based on the parameter score, the accuracy score, the first weight, the second weight, and the weight related to the priority.