Contactless Finger Vein and Texture Biometric Authentication
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Solution Overview
Problem
Current biometric systems face challenges in reliability, hygiene, and user acceptance, particularly with finger vein identification, due to constrained imaging setups and susceptibility to spoof attacks, and existing methods struggle to effectively combine finger vein and texture features for improved personal authentication.
Innovation Solution
A system and method for simultaneously capturing and processing finger vein and finger texture images using contactless imaging, featuring a feature extraction module that normalizes and integrates these features, allowing for robust matching scores and improved identification through nonlinear fusion of vein and texture characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If contactless finger vein imaging is used, then hygiene and user acceptance are improved, but imaging setup constraints and movement restrictions increase
Solution Approach 1:
The system dynamically adjusts imaging parameters and processing algorithms based on detected finger position and movement, allowing contactless imaging without restricting natural finger movements. The system adapts to varying finger orientations and positions during the imaging process.
Solution Approach 2:
The system changes imaging parameters such as illumination intensity, exposure time, and focal depth to compensate for finger movement and maintain image quality in contactless mode, resolving the contradiction between hygiene benefits and imaging constraints.
2Reliability
If finger vein images are used for identification, then personal authentication capability is improved, but susceptibility to spoof attacks increases
Solution Approach 1:
The system merges finger vein pattern recognition with fingerprint texture analysis to create a multi-layered authentication mechanism. This combination makes spoof attacks significantly more difficult as both the subsurface vein patterns and surface texture must be replicated simultaneously.
Solution Approach 2:
The authentication system uses a composite approach by integrating two different biometric modalities (vein patterns and fingerprint textures) into a unified identification system, enhancing security against spoofing while maintaining personal authentication capability.
3Reliability
If fingerprint features are used for identification, then personal identification reliability is improved, but difficulty in acquiring features increases for manual laborers and elderly people
Solution Approach 1:
The system replaces mechanical contact-based fingerprint acquisition with contactless optical imaging that penetrates the skin to visualize subsurface vein patterns. This substitution eliminates the need for direct finger contact with sensors, making feature acquisition feasible for individuals with damaged or contaminated fingerprints.
Solution Approach 2:
The system changes the imaging parameter from surface-level reflection (traditional fingerprint) to subsurface transmission imaging, allowing acquisition of biometric features from individuals whose surface fingerprints are degraded or difficult to capture.
4Measurement precision
If finger vein and texture features are extracted simultaneously, then identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the image processing into distinct modules: one for extracting subsurface vein patterns and another for capturing surface fingerprint textures. This segmentation allows simultaneous extraction of both feature types while managing system complexity through modular architecture.
Solution Approach 2:
The imaging system is designed with multi-functionality to simultaneously capture both vein patterns and fingerprint textures using a single integrated setup, improving identification accuracy without proportionally increasing system complexity.
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 achieves enhanced accuracy and user-friendly personal authentication by combining finger vein and texture features, providing improved performance and anti-spoofing capabilities, with significant improvements in equal error rate and recognition accuracy over existing approaches.
Implementation Method 1
Finger vein images acquired from near infrared or thermal infrared based optical imaging offers promising alternatives
Implementation Method 2
Finger vein images acquired from near infrared or thermal infrared based optical imaging offers promising alternatives
Data Source
AI summary
A system for extracting finger vein and finger texture images from a finger of a person at the same time, the device including an image capture device configured to capture at least one image of at least one finger in a contactless manner, a feature extraction module configured to extract unique finger vein features and finger texture features from the at least one captured image, and a processing module configured to normalize the at least one captured image and integrate the extracted finger vein features and finger texture features.