Fingerprint Recognition Feature Extraction Source Code

This article provides a detailed explanation of the feature extraction process in fingerprint recognition. Feature extraction involves processing fingerprint images to identify the most distinctive and representative characteristic points. The process includes several key techniques such as binarization and fan-shaped region partitioning, which we will explain step by step. Our explanations are thorough and accessible, designed to be understandable even for readers without prior background knowledge. The implementation employs threshold-based binarization algorithms to convert grayscale images into binary format, followed by region segmentation techniques to divide fingerprint patterns into fan-shaped sectors for detailed analysis. Additionally, we provide multiple modular subroutines demonstrating each processing stage, including image preprocessing functions, ridge orientation calculation methods, and minutiae point detection algorithms. These code segments offer clear insights into the practical implementation of fingerprint feature extraction. We hope this resource proves valuable for your understanding and applications.