Vein Pattern Authentication Device with Wrong Template Filtering
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Solution Overview
Problem
Finger vein authentication devices face challenges in maintaining high accuracy and reproducibility, especially in varying use surroundings and operations, and there is a risk of reduced secrecy due to vein pattern display, which affects user confirmation and operability.
Innovation Solution
A biometric authentication device with a pattern imaging unit, feature data extraction, and wrong template storage to improve accuracy and reproducibility by calculating similarity thresholds and providing guidance messages for correct operation, ensuring high authentication rates and user confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vein pattern is displayed on picture screen for user confirmation, then user can confirm authentication processing, but secrecy is reduced and operability becomes bad
Solution Approach 1:
The patent extracts only the necessary authentication result information (authentication/pass or fail) from the complete vein pattern image, displaying only this essential information on the screen rather than the full biometric data, thus maintaining secrecy while enabling user confirmation
Solution Approach 2:
The patent applies different display qualities to different parts of the authentication information - the vein pattern itself is not displayed or is heavily obscured, while only the authentication result (pass/fail) is clearly displayed, creating local differentiation in information visibility
2Volume of moving object
If device is made smaller for portability, then use surroundings are expanded, but accuracy of vein pattern imaging may deteriorate
Solution Approach 1:
The patent changes the optical parameters (wavelength, intensity, and distribution) of the light source to optimize vein pattern imaging for compact device geometry, using specific wavelength ranges that penetrate finger tissue effectively while maintaining high contrast in smaller imaging volumes
Solution Approach 2:
The patent performs preliminary imaging quality assessment and automatic parameter adjustment before authentication, pre-optimizing the imaging conditions based on detected finger characteristics to ensure accurate vein pattern capture despite the compact device size
3Device complexity
If authentication template is registered without wrong template verification, then registration process is simpler, but authentication rate deteriorates due to external disturbances
Solution Approach 1:
The patent performs preliminary wrong template verification during the registration process by comparing the captured vein pattern against known incorrect patterns, filtering out poor-quality registrations before they compromise the authentication database, thus improving reliability without significantly increasing complexity
Solution Approach 2:
The patent implements feedback mechanisms where authentication results and verification outcomes are used to adjust registration criteria and wrong template thresholds, continuously optimizing the balance between registration simplicity and authentication reliability based on actual system performance
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 solution enhances authentication accuracy and user handling by removing external disturbances and providing high availability and operability, allowing users to confirm authentication processing and correct wrong operations.
Implementation Method 1
a light source for emitting light; a imager for imaging a vein pattern of the finger by near-infrared light
Implementation Method 2
a imager for imaging a vein pattern of the finger by near-infrared light
Data Source
AI summary
At least one wrong template for storing features of pattern information imaged on condition unsuitable for biometric authentication is provided and the wrong template information is collated with collation template information produced by extracting features from biometric information when authentication information is registered. When similarity is low, the collation template information is stored in an authentication template. The collation template is collated with the wrong template upon authentication and when similarity is high, authentication processing is not made. Further, when similarity of the collation template information and the wrong template information is high, a guidance message for solving a problem is displayed to the user. Thus, reduction of authentication performance is prevented.