Finger Vein Authentication Using Shading Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing finger vein authentication technologies face challenges in achieving high precision and stability due to variations in external light and body conditions, and the increase in biometric information load, which can lead to decreased identification rates and increased costs.
Innovation Solution
An individual authentication device that extracts feature information from the shading of vascular patterns using a combination of imaging and arithmetic units to acquire a larger number of biometric data points from a single image, while minimizing the impact of external light and body position variations through the use of an elastic member and sensors to guide finger placement and adjust pressure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of fingers employed in authentication is increased to improve precision, then authentication precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent transitions from acquiring multiple two-dimensional finger vein images to extracting three-dimensional vascular structure information from a single image by analyzing shading variations. This dimensional transformation allows the system to obtain richer biometric data without requiring multiple imaging devices or fingers, thereby improving authentication precision while maintaining device simplicity
Solution Approach 2:
The patent segments the vascular pattern information into multiple feature points by detecting branching points and bent points in the blood vessels. By dividing the continuous vascular structure into discrete, identifiable feature points, the system can extract comprehensive biometric information from a single image, improving precision without increasing device complexity
2Measurement precision
If plural vascular pattern images are acquired to increase biometric information, then authentication precision is improved, but identification rate decreases due to environmental variations
Solution Approach 1:
The patent changes the parameter extraction approach from acquiring multiple images to analyzing shading variations (luminance gradients) within a single image. By extracting three-dimensional vascular information through parameter analysis of the vascular pattern's shading characteristics, the system obtains stable biometric data that is less susceptible to environmental light variations, thereby maintaining high identification rates while improving precision
3Measurement precision
If a lens array or plural imaging devices are used to acquire three-dimensional vascular structure, then authentication precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts three-dimensional vascular structure information from a single two-dimensional image by analyzing shading variations and luminance gradients. Instead of using complex lens arrays or multiple imaging devices to capture three-dimensional data, the system extracts depth information through computational analysis of the vascular pattern's shading characteristics, thereby achieving high precision while keeping the device simple
Solution Approach 2:
The patent replaces mechanical imaging systems (lens arrays, multiple cameras) with an information processing approach. By substituting physical hardware complexity with computational algorithms that analyze shading variations in single images, the system achieves three-dimensional vascular structure extraction without requiring complex mechanical components, thus improving precision while reducing device complexity and cost
4Measurement precision
If the number of biometric information pieces is increased to improve precision, then authentication precision is improved, but processing load and storage requirements increase
Solution Approach 1:
The patent merges multiple potential biometric data sources (multiple fingers, multiple images, three-dimensional structures) into a single integrated feature point extraction process. By combining the extraction of vascular pattern information, branching points, bent points, and shading variations into one unified approach using a single image, the system achieves comprehensive biometric data acquisition without proportionally increasing processing load or storage requirements
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
This approach enhances the precision and stability of finger vein authentication by increasing the number of data points used for identification, improving reproducibility, and reducing the risk of vascular pattern loss, thereby enhancing the overall identification rate and reducing costs.
Implementation Method 1
a vein authentication technology that utilizes absorption of infrared light, which is irradiated to a living body, by hemoglobin in blood
Data Source
AI summary
A primary object of the present invention is to extract a difference in shading of a blood vessel image in a picked up image as information to be used for authentication, and to acquire a larger number of pieces of biometric information from one image. An individual authentication device to be used to authenticate an individual using feature information of a vascular pattern acquired from a living body includes an imaging unit that images a region of the living body serving as an object of authentication, and an arithmetic unit that acquires the picked up image as an authentication image. The arithmetic unit extracts a vascular pattern from the authentication image, and acquires a degree of shading of the vascular pattern as the feature information.