Traditional fingerprint recognition systems focus on matching a fingerprint to a pre-stored image, relying on key features such as ridges, whorls, and minutiae points. AI, specifically deep learning algorithms, takes this a step further by processing and analyzing fingerprint data more deeply, enhancing the system’s ability to detect even minor variations or distortions in prints.
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