3D Fingerprint Authentication Device Core Crown Alignment
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Solution Overview
Problem
Existing fingerprint authentication methods are vulnerable to fraud, as they cannot reliably verify that a presented fingerprint corresponds to the actual finger, allowing individuals to deceive the system by using reproduced fingerprints.
Innovation Solution
A device and method that capture and analyze a three-dimensional fingerprint model without contact, determining the core, crown, and end positions, calculating specific distances and ratios, and checking these against predefined ranges to authenticate the fingerprint's authenticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contactless capture is used to prevent finger deformation, then measurement precision is improved, but device complexity increases due to multiple capture systems and 3D modeling requirements
Solution Approach 1:
The patent transitions from 2D fingerprint imaging to 3D finger modeling by capturing images from multiple angles and constructing a three-dimensional model. This dimensional change enables contactless capture while maintaining measurement precision through spatial analysis of the finger's geometry and curvature characteristics.
Solution Approach 2:
The system performs preliminary 3D modeling and curvature analysis before final authentication. By pre-establishing the three-dimensional model and identifying key geometric features (core, crown, end positions), the system prepares reference data that simplifies subsequent authentication comparisons without requiring complex real-time processing during the actual verification.
2Reliability
If multiple verification parameters (positions, distances, ratios) are checked, then reliability is improved, but device complexity increases due to additional checking means
Solution Approach 1:
The authentication process is segmented into distinct verification stages: position verification of the core, crown, and end; distance calculation between these points; and ratio computation of specific segments. Each segmentation is handled by dedicated checking means, allowing systematic verification of multiple parameters while maintaining clear functional separation that simplifies the overall system architecture.
Solution Approach 2:
The system implements feedback mechanisms where each checking means provides verification results that inform subsequent authentication decisions. The first checking means validates positions, the second checks distances, and the third verifies ratios, with each stage's output feeding into the final authentication decision, creating a layered feedback structure that enhances reliability without requiring all components to operate simultaneously at full complexity.
3Reliability
If 3D modeling is performed to detect fraud, then authenticity verification is improved, but loss of time increases due to complex processing
Solution Approach 1:
The system extracts only the essential geometric features needed for fraud detection from the complete 3D model: the core position, crown position, and end position of the finger. By taking out only these critical elements rather than analyzing the entire 3D surface, the system maintains high fraud detection capability while significantly reducing processing time and computational requirements.
Solution Approach 2:
The patent replaces complex mechanical or manual verification processes with automated computational methods for calculating distances and ratios between key points. This substitution of mechanical analysis with algorithmic processing enables rapid 3D model evaluation, maintaining high reliability in fraud detection while minimizing processing time through efficient computational geometry operations.
Data Source
AI summary
Disclosed is a checking device that is intended to check the authenticity of a fingerprint of a finger and which includes, among other things, a capture system for capturing an image of the finger and of the fingerprint, and acquisition means for acquiring a three-dimensional model of the finger. The checking device also includes means for determining the core on the image of the fingerprint, for locating the crown of the three-dimensional model, for determining the orientation and position of the end of the finger and for determining the relative positions of the end, the crown and the core. From these elements, the checking device can decide whether the fingerprint is real or false.