Contactless 3D Finger Authentication Fraud Detection
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Solution Overview
Problem
Existing biometric authentication methods that rely on contact with a surface for fingerprint or venous network analysis face issues such as speed limitations, hygiene concerns, and susceptibility to fraud from decoy objects, particularly in high-traffic areas like airport controls.
Innovation Solution
A contactless fraud detection method that analyzes the three-dimensional representation of an object to validate if it is a human finger by determining principal planes, working points, and applying regularity and flatness criteria to distinguish authentic fingers from decoys based on geometric features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contact-based fingerprint or venous network authentication is used, then authentication accuracy is improved, but processing speed deteriorates and hygiene issues arise
Solution Approach 1:
The patent replaces contact-based mechanical fingerprint scanning with contactless 3D imaging technology. The system uses optical fields to capture finger geometry, vein patterns, and surface characteristics without physical contact, thereby maintaining authentication accuracy while dramatically improving processing speed and eliminating hygiene concerns associated with surface contact
2Productivity
If contactless 3D fingerprint acquisition is used, then processing speed is improved, but vulnerability to fraud from decoy objects increases
Solution Approach 1:
The patent transitions from 2D fingerprint imaging to 3D geometric characterization, capturing depth information, surface curvature, and volumetric properties. This dimensional enhancement creates multiple verification parameters that decoy objects cannot replicate, maintaining high processing speed while significantly improving fraud detection capability
Solution Approach 2:
The system changes the verification parameters from simple 2D pattern matching to comprehensive 3D geometric analysis including surface topology, curvature distribution, and spatial relationships. These parameter changes make the authentication process resistant to decoy objects while preserving fast processing speeds
3Reliability
If surface contact authentication is used, then authentication reliability is improved, but hygiene problems and maintenance requirements worsen
Solution Approach 1:
The patent eliminates mechanical contact between the authentication surface and user fingers by using contactless optical 3D imaging. This substitution maintains authentication reliability through accurate geometric capture while completely removing the hygiene contamination issue that requires periodic cleaning and disinfection
Data Source
AI summary
The invention relates to a method for detecting fraud to authenticate that an object is a human finger from a three-dimensional representation of said object comprising a set of representation points (3) modeling at least a part of the surface of the object, comprising the following steps:a) determining at least one principal plane (P) comprising a principal axis in the longitudinal direction of the three-dimensional representation of the object, said principal plane (P) intersecting the representation (1) of the surface of the object along at least one intersection zone,b) for each principal plane (P), determining a set of working points (5) from representation points (3) at the intersection zone,c) validation that the object is a human finger by implementing a validation process on the position of the working points.