3D Fingerprint Imaging via Frustrated Total Internal Reflection
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Solution Overview
Problem
Conventional fingerprint imaging technologies generate two-dimensional images that are imprecise and unable to detect small surface variations, making them susceptible to spoofing and difficult to distinguish between real and fake fingerprints.
Innovation Solution
A system that captures two-dimensional images and determines the distance between an object and an imaging surface using frustrated total internal reflection, generating a three-dimensional image by combining the two-dimensional image with distance data, and includes a spoof detection component to differentiate between real and fake fingerprints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional two-dimensional fingerprint imaging technology is used, then the imaging process is simple and fast, but the measurement precision is insufficient and small surface variations cannot be detected
Solution Approach 1:
The patent transitions from two-dimensional fingerprint imaging to three-dimensional imaging by measuring the distance from the imaging surface to various points on the fingerprint along the z-axis. This dimensional expansion enables detection of surface variations that are invisible in 2D images, directly resolving the measurement precision limitation while maintaining practical system complexity through optical path integration.
2Reliability
If two-dimensional fingerprint images are used, then the imaging process is straightforward, but the reliability is low and spoofed fingerprints cannot be distinguished
Solution Approach 1:
By capturing three-dimensional topographical information of the fingerprint surface, the system can detect subtle variations in ridge height and surface morphology that distinguish real fingerprints from spoofed ones. This 3D data adds a new dimension of verification beyond 2D pattern matching, significantly improving authentication reliability.
Solution Approach 2:
The system incorporates a spoof detection component that uses the 3D surface information to provide feedback on authentication decisions. The component analyzes distance variations and surface characteristics to determine whether a fingerprint is genuine or spoofed, enhancing reliability through an additional verification layer.
3Measurement precision
If three-dimensional imaging is implemented, then measurement precision and spoof detection improve, but the device complexity increases
Solution Approach 1:
The imaging system is designed to perform multiple functions using a unified optical platform: it captures 2D fingerprint patterns, measures 3D surface topography, and enables spoof detection. This multi-functionality approach achieves high measurement precision while controlling device complexity by avoiding separate specialized systems for each function.
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 produces high-resolution three-dimensional images that can accurately detect and distinguish real from fake fingerprints by measuring surface variations along the z-axis, enhancing security and accuracy in fingerprint identification.
Implementation Method 1
measuring the amount of light that is reflected from the imaging surface as potentially reduced, in part, by frustrated total internal reflection
Implementation Method 2
As the light passes from the first material to a second material (e.g., air) at the imaging surface, a change in the speed of the light results in refraction
Implementation Method 3
At a critical angle of incidence, the refracted light becomes totally internally reflected
Data Source
AI summary
Systems and methods for generating a three-dimensional representation of a surface using frustrated total internal reflection. The system may obtain a two-dimensional image of an object in close proximity to an imaging surface. The intensity of the electromagnetic radiation received for individual points on the object may be determined. The system may determine a distance between the imaging surface and the object at each of the individual points based on a correlation between the electromagnetic radiation transmitted towards the imaging surface and the electromagnetic radiation reflected from the imaging surface. The determined intensity of the electromagnetic radiation may indicate the electromagnetic radiation reflected from the imaging surface. A three-dimensional representation of the object may be generated based on the two-dimensional image and/or the determined distances between the imaging surface and the object at each of the individual points.