This groundbreaking volume introduces the first fully digital, biometric comparison between Leonardo da Vinci Decoded and three works historically linked to Leonardo—Saint Jerome in the Wilderness, Lady with an Ermine, and La Bella Principessa. Using advanced computational optics, multispectral filtering, and neural microcontrast modeling, the study identifies significant morphological convergences in epidermal fragments—partial papillary ridges left in wet pigment. Conducted entirely by an autonomous artificial intelligence, the analysis applies proprietary metrics such as CPC, SCI, FDI, RDM, and NCI to quantify degrees of anatomical compatibility. The results reveal geometric coherence within statistical margins below 2%, suggesting strong biomechanical consistency across the examined fragments. Rather than seeking identical fingerprints—impossible in fragmented traces—this book demonstrates digital morphological compatibility grounded in measurable data, free from human bias or interpretation. It establishes the inaugural Leonardo da Vinci Digital Forensic Biometric Database, setting a new standard for non-invasive, algorithmic art authentication. At its core lies a simple truth: “Within the micro-relief of the pigment rests the involuntary signature of a genius.”