DENOISING DIFFUSION PROBABILISTIC MODEL WITH WAVELET PACKET TRANSFORM FOR FINGERPRINT GENERATION

The majority of contemporary fingerprint synthesis is based on the Generative Adversarial Network (GAN). Recently, the Denoising Diffusion Probabilistic Model (DDPM) has been demonstrated to be more effective than GAN in numerous scenarios, particularly in terms of diversity and fidelity. This resea...

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Bibliografische gegevens

Hoofdauteurs:	LI CHEN, YONG HUAH CHAN
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2024-04-01
Reeks:	Jordanian Journal of Computers and Information Technology
Onderwerpen:	diffusion model fingerprint image processing wavelet packet transform
Online toegang:	https://www.jjcit.org/?mno=207583
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