3D Iris Recognition via Light Field Camera
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Solution Overview
Problem
Current iris recognition systems lack the capability to effectively capture and analyze three-dimensional iris data for secure biometric identification, particularly in scenarios where traditional two-dimensional methods are inadequate, such as with dark-colored irises or in multi-modal biometric applications involving face recognition.
Innovation Solution
A 3D iris recognition system utilizing a microlens array light field camera to capture 3D images of irises and faces, which includes an illuminator for infrared or visible light illumination, an iris feature extractor for generating templates, and a comparator for generating match scores, with an optional face recognition subsystem for fusion scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional two-dimensional iris recognition methods are used, then the system is simple to implement, but the security and accuracy are insufficient for dark-colored irises and spoofing detection
Solution Approach 1:
The patent transitions from traditional 2D iris recognition to 3D iris recognition by capturing depth information and surface topology of the iris. This dimensional change enables the system to capture rich 3D features including iris surface curvature, wrinkles, and elevation variations, which significantly improve reliability for dark-colored irises and spoofing detection while maintaining reasonable system complexity through integrated 3D sensors.
2Reliability
If 3D iris recognition is implemented, then security and accuracy are enhanced, but the device complexity increases
Solution Approach 1:
The system integrates multiple functions into a unified 3D iris recognition platform that simultaneously achieves high security, accurate dark iris detection, and effective spoofing prevention. The 3D sensor array and processing system serve multiple purposes: capturing iris texture, measuring surface topology, detecting depth variations for anti-spoofing, and generating comprehensive biometric templates, thereby managing complexity through functional integration.
Solution Approach 2:
The patent introduces intermediate processing components including 3D image reconstruction modules, surface topology extraction algorithms, and multi-modal feature fusion mechanisms that bridge the gap between raw 3D sensor data and final recognition decisions. These intermediaries manage system complexity by breaking down the complex 3D recognition task into manageable processing stages.
3Measurement precision
If multi-modal biometric operations are added, then identification accuracy is improved through fusion scores, but the device complexity and processing requirements increase
Solution Approach 1:
The system merges iris recognition with face recognition capabilities into a unified multi-modal biometric system. By combining 3D iris features with 3D face geometry and texture information, the system achieves enhanced identification accuracy through fusion scoring mechanisms that weigh multiple biometric modalities, while managing complexity through integrated processing pipelines.
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 provides enhanced security and accuracy by capturing rich 3D iris features, improving image quality, and enabling detection of iris spoofing, while also supporting multi-modal biometric operations through quality-based fusion scores for improved identification and verification.
Implementation Method 1
A 3D iris recognition system utilizing a microlens array light field camera to capture 3D images of irises and faces
Implementation Method 2
an illuminator for infrared or visible light illumination
Data Source
AI summary
Aspects of the disclosure provide an iris recognition system. The iris recognition system can include a three-dimensional (3D) sensor that is configured to capture a 3D image of an iris, an iris feature extractor that is configured to generate an iris template based on the 3D image of the iris, and a memory that is configured to store the iris template.