Fingerprint Recognition Using Feature Point Matching

Several fingerprint matching techniques exist, with the most widely used being: Correlation-based matching, which computes similarity across different pixel paths and rotations but suffers from high computational complexity. Feature point-based matching, the most popular technique, identifies and maps minutiae points for comparison, yet faces challenges with low-quality fingerprints. Pattern-based (image-based) matching compares fingerprint patterns (arches, whorls, loops) between templates and candidate images but requires precise alignment. Implementation considerations include algorithmic efficiency, preprocessing requirements, and reliability under varying image quality conditions.