Biometric Authentication Liveness Detection via Lighting Analysis

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Solution Overview

Problem

Biometric authentication systems using image-based biometrics, such as facial recognition, are vulnerable to spoofing attacks where images or videos of individuals are used to bypass authentication, lacking effective liveness detection to ensure a real person is present.

Innovation Solution

Implementing a method that includes liveness detection through movement analysis and lighting effect comparison, where users are prompted to move their face or facial features in response to a target or changing lighting conditions, and their biometric features are authenticated by comparing extracted features to stored data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If image-based biometric authentication is used, then authentication speed and convenience are improved, but vulnerability to spoofing attacks increases

Engineering Contradiction:
Improveauthentication speedVSAvoidanti-spoofing capability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs liveness detection before completing authentication by analyzing lighting effects on facial features in captured images. This preliminary check verifies that a live person is present before biometric matching occurs, preventing spoofing attacks while maintaining fast authentication throughput.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces lighting effect analysis as an intermediary verification layer between image capture and biometric matching. By examining how light interacts with facial features (shadows, highlights, reflections), the system mediates between the convenience of image-based auth and the need for anti-spoofing security.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If liveness detection through movement analysis is implemented, then spoofing prevention is improved, but device complexity increases

Engineering Contradiction:
Improveliveness detection accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system uses the device's existing camera and display components to perform liveness detection. The display presents visual stimuli (moving objects, changing patterns) and the camera captures the user's natural facial responses, eliminating the need for specialized sensors or hardware while achieving reliable liveness verification.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent changes the parameter being analyzed from requiring physical movement of the user to analyzing lighting effect parameters (shadows, highlights, reflections) on facial features. This approach maintains liveness detection accuracy while reducing system complexity by using standard imaging components rather than specialized motion capture hardware.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If multiple images under different lighting conditions are captured, then liveness detection accuracy is improved, but processing time increases

Engineering Contradiction:
Improveliveness detection precisionVSAvoidauthentication time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system captures multiple images under different lighting conditions in rapid succession during a single authentication interaction. By periodically varying lighting conditions (using flash, ambient light, or displayed light patterns) and capturing images at different moments, the system achieves high liveness detection precision without requiring multiple separate authentication attempts.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS10698998B1Systems and methods for biometric authentication with liveness detection
Publication Date: 2020.06.30 JPMORGAN CHASE BANK NA
  • US10698998B1 patent drawing
  • US10698998B1 patent drawing
  • US10698998B1 patent drawing

AI summary

Systems and methods for biometric authentication with liveness detection are disclosed. According to one embodiment, in an information processing apparatus including at least a memory, a communication interface, at least one computer processor, and a display, a method of determining a graphical interactive password may include: (1) sequentially providing a plurality of graphical interactive interfaces for a user on the display; (2) receiving inputs to the each of the graphical interactive interfaces, the inputs comprising a plurality of movements to move a graphical element displayed on the display and timings of the plurality of movements; (3) identifying a behavioral pattern for the user based on the inputs; (4) determining a uniqueness of the identified behavioral pattern by comparing the identified behavioral pattern to a plurality of stored behavioral patterns for other users; and (5) saving the identified behavioral pattern as a password for the user.