Iris Biometric Recognition via 3D Geometric Verification
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Solution Overview
Problem
Existing biometric iris recognition methods are vulnerable to falsification by cosmetic lenses that mask or replicate iris patterns, leading to unreliable authentication.
Innovation Solution
A method involving capturing iris images from different orientations to detect homologous characteristic points, applying a homography to align them, and determining residual differences to verify the authenticity of the iris, distinguishing between real and replicated patterns by assessing the shape consistency of these points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cosmetic lenses with replicated iris patterns are used, then the appearance of the iris is modified, but the reliability of biometric recognition deteriorates
Solution Approach 1:
The patent transitions from 2D iris pattern analysis to 3D geometric analysis by capturing images at multiple orientations. It extracts 3D coordinates of characteristic points and analyzes their spatial relationships, adding a dimensional aspect that reveals the curvature difference between real irises and flat lens replicas.
Solution Approach 2:
The patent replaces traditional optical/electrical iris recognition systems with a geometric verification system. Instead of analyzing iris texture patterns, it uses geometric relationships of characteristic points in 3D space, substituting the recognition mechanism from pattern-matching to spatial-relationship verification.
2Reliability
If multiple images from different orientations are captured and analyzed, then the ability to detect cosmetic lenses improves, but the device complexity increases
Solution Approach 1:
The system uses the geometric relationships of characteristic points themselves to verify authenticity. The characteristic points' spatial configurations inherently contain the verification information, eliminating the need for external reference data or complex authentication protocols. The iris structure verifies itself through its geometric properties.
Solution Approach 2:
The patent changes the verification parameter from 2D pattern matching to 3D geometric relationships. By capturing images at different orientations and analyzing the spatial coordinates of characteristic points, it transforms the verification approach to use dimensional and positional parameters instead of texture patterns.
3Measurement precision
If a homography is applied to align characteristic points from different orientations, then the measurement precision of geometric verification improves, but the computational requirements increase
Solution Approach 1:
The patent performs homography transformation as a preliminary step before conducting the actual geometric verification. By pre-aligning the characteristic points from different orientations, it simplifies subsequent calculations and enables more efficient verification of the 3D geometric relationships.
Data Source
AI summary
A method for verifying the authenticity of an iris from an eye of a candidate for biometric recognition, comprising the step of verifying the flatness of the iris from two images of the iris taken from different orientations relative to the image sensor. A method and optical recognition device for implementing this method.