Handwritten Signature Generation Using Denoising Diffusion Probabilistic Models with Auxiliary Classification Processes

Automatic signature verification has been widely studied for authentication purposes in real life, but limited data availability still poses a significant challenge. To address this issue, we propose a method with a denoising diffusion probabilistic model (DDPM) to generate artificial signatures tha...

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Autors principals:	Dong-Jin Hong, Won-Du Chang, Eui-Young Cha
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-11-01
Col·lecció:	Applied Sciences
Matèries:	handwritten signature recognition image generation denoising diffusion probabilistic model auxiliary classification
Accés en línia:	https://www.mdpi.com/2076-3417/14/22/10233
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