Chapter 3: MATLAB-Based Fingerprint Recognition System from "Typical Case Studies in Digital Image Recognition Technology"

Chapter 3 of "Typical Case Studies in Digital Image Recognition Technology" focuses on a MATLAB-based fingerprint recognition system. This book presents comprehensive case studies in digital image recognition technology, detailing the implementation methodologies and technical principles behind fingerprint recognition systems developed using MATLAB. Through studying this chapter, readers gain deep insights into the application of digital image recognition technology in fingerprint identification and learn practical approaches for developing fingerprint recognition systems using MATLAB's image processing toolbox. The chapter covers essential algorithms including image preprocessing techniques such as histogram equalization and Gabor filter enhancement for ridge pattern clarification, feature extraction methods like minutiae point detection (ridge endings and bifurcations), and matching algorithms using similarity scoring mechanisms. Key MATLAB functions explored include imread for image acquisition, medfilt2 for noise reduction, bwthin for skeletonization, and regionprops for feature analysis. This resource serves as an excellent reference for students, researchers, and professionals interested in digital image recognition technology. It provides not only theoretical foundations but also practical case studies and experimental implementations that help readers better understand and apply digital image recognition techniques. By studying this material, readers can enhance their capabilities in digital image recognition technology, providing strong support for practical applications and research work in biometric security systems. The included code examples demonstrate complete workflow implementation from fingerprint image acquisition to final verification results.