Dynamic Lighting Pattern for 3D Biometric Spoofing Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current optical recognition technologies for identity verification, such as facial recognition on mobile devices, are vulnerable to spoofing attempts using 2D representations like images or prints, lacking effective automated authentication methods to differentiate between genuine 3D biometric data and fake 2D replicas.
Innovation Solution
A mobile device system that captures image data of a 3D object using a front-facing camera while displaying an authentication pattern with varying brightness, position, size, and color, allowing the system to determine the object's spatial characteristics and detect spoofing by comparing them with stored reference data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If optical recognition technology is used for identity verification, then authentication speed and convenience are improved, but vulnerability to spoofing attacks increases
Solution Approach 1:
The system displays a dynamic authentication pattern that changes over time (varying brightness, position, size, shape, and color) to create time-varying lighting effects. This dynamic element prevents spoofing because static 2D representations cannot replicate the temporal changes in lighting patterns that occur on genuine 3D objects during the authentication process.
Solution Approach 2:
The system transitions from 2D image capture to 3D spatial characteristic analysis by projecting patterns onto the object and analyzing how light reflects off its three-dimensional surface. This dimensional approach allows the system to detect depth information and spatial relationships that are absent in flat 2D spoofing attempts.
2Reliability
If dynamic authentication patterns are displayed to detect spoofing, then security against spoofing is improved, but device complexity increases
Solution Approach 1:
The system uses the mobile device's existing display screen and camera components to perform multiple functions: displaying the authentication pattern, capturing reflected light images, and processing spatial characteristic data. This multi-functionality approach avoids adding separate dedicated hardware components, thereby limiting the increase in device complexity while achieving enhanced security.
Solution Approach 2:
The system utilizes the device's own display screen as both the light source for projection and the interface for user interaction. The camera captures images of the object illuminated by the display, and the processor analyzes the reflected light patterns. This self-service approach eliminates the need for external projectors or additional lighting equipment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively differentiates between genuine 3D biometric data and 2D spoofing attempts, enhancing security by granting access only when the spatial characteristics match the stored reference, thereby preventing unauthorized access.
Implementation Method 1
displaying, via the front-facing screen, an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time
Implementation Method 2
capturing, via the front-facing camera, image data of the 3D object while displaying, via the front-facing screen, an authentication pattern
Data Source
AI summary
Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.