Finger Vein Recognition with Individual LED Intensity Control
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Solution Overview
Problem
Current finger vein recognition systems face challenges in capturing high-quality images of veins beneath the skin, particularly those deeper in the finger, due to inconsistent lighting, which affects accuracy and security.
Innovation Solution
A finger vein recognition system comprising an image capture device, an array of near-infrared LEDs, and a microprocessor that adjusts the intensity of each LED individually, along with a touch sensor to wake up the system and optimize image capture, ensuring thorough illumination and high-quality image acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single light source is used to illuminate the finger, then the device complexity is reduced, but the illumination intensity becomes inconsistent and cannot adequately illuminate deeper veins
Solution Approach 1:
The lighting system is segmented into multiple independent LED light sources arranged in an array, where each LED can be individually controlled to illuminate different regions of the finger. This segmentation allows consistent illumination across the entire finger surface and enables penetration to deeper vein structures, resolving the contradiction between device simplicity and lighting effectiveness.
Solution Approach 2:
Each LED in the array provides localized illumination optimized for specific finger regions, with individual intensity control allowing tailored lighting for different depths and locations. This local quality approach ensures that both superficial and deeper veins receive appropriate illumination, overcoming the limitations of a single uniform light source.
2Use of energy by moving object
If the system remains in sleep mode to conserve energy, then the use of energy is reduced, but the response time for image capture increases
Solution Approach 1:
The touch sensor continuously monitors for user presence and triggers the wake-up sequence in advance of the actual authentication need. When a finger is detected, the system proactively activates the LED array and image capture device, ensuring immediate readiness for vein pattern capture without prolonged delays, thus balancing energy conservation with responsive performance.
3Measurement precision
If individual LED intensity control is implemented, then the measurement precision of vein patterns is improved, but the device complexity increases
Solution Approach 1:
The system dynamically adjusts the intensity parameter of each individual LED based on real-time feedback from the image capture device and vein pattern detection requirements. This parameter control enables optimization of illumination for different vein depths and finger positions, significantly improving measurement precision. The microprocessor manages this complexity through efficient algorithms that coordinate LED intensities without requiring overly complex hardware architecture.
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 secure and accurate finger vein recognition by capturing detailed vein patterns, both superficial and deeper, enhancing security and convenience by allowing only authorized access.
Implementation Method 1
an array of near-infrared LEDs
Implementation Method 2
invisible light is passed through the finger and a camera is used to capture an image of the veins illuminated by the light
Data Source
AI summary
A finger vein recognition system includes an IR camera, a handle with a sensor and a IR LED array, and a microprocessor for controlling the LED array and processing image signals received from the camera. The luminescence of each LED in the LED array can be changed based on the position of a user's fingers and the environment, which improves the quality of images captured by the IR camera. The sensor detects the proximity of a user and activates the system.


