3D Palm Vein Modeling for Non-Contact Authentication
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Solution Overview
Problem
Current non-contact palm vein recognition systems suffer from reduced performance when the hand is not positioned close to the guiding support, leading to compatibility issues and suboptimal image quality, which affects authentication accuracy.
Innovation Solution
A non-contact three-dimensional palm vein modeling method that captures palm images from multiple positions, extracts feature data, performs feature fusion, and forms a user feature template, ensuring high similarity and stability across different positions and orientations, thereby enhancing recognition performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a non-contact palm vein recognition system is used without guiding support, then ease of operation is improved, but recognition accuracy deteriorates when the hand is not positioned close to the guiding support
Solution Approach 1:
The patent transitions from two-dimensional image capture to three-dimensional palm vein modeling by capturing images at multiple positions and depths. This dimensional expansion allows the system to maintain recognition accuracy across varying hand positions without requiring precise placement near guiding support, thus resolving the contradiction between ease of operation and recognition accuracy
Solution Approach 2:
The patent creates a universal three-dimensional palm vein model that functions across multiple positions and orientations. This multi-functional approach enables the recognition system to operate reliably regardless of hand placement, eliminating the need for guiding support while maintaining accuracy, thereby resolving the contradiction between ease of operation and recognition accuracy
2Adaptability or versatility
If palm images are captured from multiple positions, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent creates a three-dimensional model (a virtual copy) of the palm vein structure from multiple two-dimensional images. This copying approach enables adaptability across different positions without requiring complex real-time processing hardware, as the pre-built 3D model can be efficiently queried and compared, thus resolving the contradiction between adaptability and device complexity
3Manufacturing precision
If contact guidance is provided to obtain correct images, then manufacturing precision is improved, but ease of operation worsens
Solution Approach 1:
The patent enables the system to automatically capture and process images from multiple positions without requiring user interaction with guiding support. The multi-position imaging and 3D modeling process occurs autonomously, maintaining high image quality and recognition accuracy while eliminating the need for contact guidance, thus resolving the contradiction between manufacturing precision and ease of operation
Data Source
AI summary
The present disclosure provides a non-contact three-dimensional palm vein modeling method, including: shooting palm images of M different positions, where a quantity of shot palm images of each different position is one or more, the different positions are positions of a palm relative to an image shooting apparatus; picking out a picked palm image satisfying a preset condition from the shot palm images, where a quantity of picked palm images of each position is one or more, and the quantity of picked palm images of each position is less than or equal to a quantity of shot palm images of the corresponding position; extracting palm vein feature data from the picked palm images; performing feature fusion on the palm vein feature data extracted from the picked palm images to form one first feature template; and forming a user feature template based on the one first feature template.