Finger Vein Feature Extraction with MATLAB Implementation

Finger vein recognition is a biometric technology that involves capturing venous images from human fingers and extracting unique vascular patterns. This technology can be implemented using MATLAB, a powerful computational programming language widely used in scientific and engineering applications. For finger vein feature extraction, MATLAB provides comprehensive tools for image preprocessing (including contrast enhancement and noise reduction using functions like imadjust and medfilt2), vein pattern segmentation (employing algorithms such as maximum curvature point detection or repeated line tracking), and feature vector creation (using techniques like local binary patterns or scale-invariant feature transform). The implementation typically involves key functions such as imread for image loading, edge for boundary detection, and regionprops for morphological analysis. Mastering MATLAB is crucial for researching and applying finger vein recognition technology, as it enables efficient processing of vascular patterns through matrix operations and digital image processing工具箱. Furthermore, finger vein recognition has been extensively applied in security authentication systems (using template matching algorithms), financial payment verification (implementing real-time comparison functions), and medical diagnostics (leveraging pattern classification methods), demonstrating broad application prospects across multiple domains.