Biometric Resource Transfer Using Multi-Angle Liveness Detection

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Solution Overview

Problem

The existing method of resource transfer through password authentication is prone to security risks due to password leakage and forgotten passwords, which hinders secure electronic account transactions.

Innovation Solution

A method and system that verifies the identity and liveliness of a user using both front and side face images, allowing resource transfer without entering a password, thereby enhancing security and accuracy through combined liveness detection and identity recognition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If password authentication is used for resource transfer, then the operation process is simple, but security risks increase due to password leakage and forgotten passwords

Engineering Contradiction:
Improveoperation processVSAvoidsecurity
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent replaces the mechanical password input system with a biological recognition system using face image capture and liveness detection. The capturing device obtains front and side face images, and the processing device performs automated liveness detection and identity recognition, eliminating the need for manual password entry while enhancing security through biometric verification.

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

2Ease of operation

If face image recognition is used for identity verification, then password entry is eliminated, but security risks arise from potential face image theft

Engineering Contradiction:
Improvepassword entryVSAvoidsecurity
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent transitions from two-dimensional face image analysis to three-dimensional verification by capturing both front and side face images. This multi-angle approach creates a more comprehensive biometric profile that is significantly harder to spoof, as attackers would need to replicate multiple facial views simultaneously, thereby enhancing security while maintaining ease of operation.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent performs liveness detection before final identity recognition to preliminarily verify that the captured face images represent a living person. This preliminary action prevents authentication based on static photos or video recordings, adding a security layer that detects real-time physiological characteristics while maintaining the convenience of face-based authentication.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If only front face image is used for recognition, then the process is simple, but accuracy of liveness detection and identity recognition decreases

Engineering Contradiction:
Improveimage capture processVSAvoidaccuracy of liveness detection
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent merges front face image and side face image data into a comprehensive biometric verification system. The processing device combines information from both images to perform liveness detection and identity recognition, creating a more robust authentication mechanism that leverages multiple facial features and angles to improve accuracy while managing complexity through integrated processing.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS10824849B2Method, apparatus, and system for resource transfer
Publication Date: 2020.11.03 ZOLOZ PTE LTD
  • US10824849B2 patent drawing
  • US10824849B2 patent drawing
  • US10824849B2 patent drawing

AI summary

A method for resource transfer, includes: acquiring a front face image, and a side face image from at least one side, of a target user; performing a liveness detection and an identity recognition on the target user based on the front face image and the side face image; and executing, if a liveness detection result is that the target user is a live user and an identity recognition result is that the target user is an authorized user of a target electronic account, resource transfer on the target electronic account.