Diffusion-generated synthetic latent fingerprints largely preserve finger identity but introduce small local minutiae inconsistencies and global ridge hallucinations when style or reference quality is mismatched.
Very deep convolutional networks for large-scale image recognition
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Intra-finger Variability of Diffusion-based Latent Fingerprint Generation
Diffusion-generated synthetic latent fingerprints largely preserve finger identity but introduce small local minutiae inconsistencies and global ridge hallucinations when style or reference quality is mismatched.