Fingerprint Synthesis from Diffusion Models and Generative Adversarial Networks
We present novel approaches involving generative adversarial networks and diffusion models in order to synthesize high-quality, live, and spoof fingerprint images while preserving features such as uniqueness and diversity. We generate live fingerprints from noise with a variety of methods, and we use image translation techniques to translate live fingerprint images to spoof. To generate different