Fingerprint Recognition Algorithm Implementation Using MATLAB
With the continuous advancement of biometric technology, it has been discovered that each individual's fingerprint possesses uniqueness and permanence. Consequently, fingerprint recognition technology has evolved into a novel identity authentication method, demonstrating strong potential to replace traditional identification approaches due to its excellent security and reliability. This article systematically outlines the fundamental steps of fingerprint recognition: fingerprint image preprocessing, feature extraction, and fingerprint matching. The preprocessing phase covers normalization, image enhancement, binarization, and thinning techniques, ultimately producing a refined binary image with single-pixel width. Fingerprint matching is then performed by analyzing distinctive endpoint and crossover point features. The complete algorithmic pipeline is implemented through MATLAB programming, providing practical insights into image processing operations and pattern recognition methodologies.