Autoencoder Application for Artwork Authentication Fingerprinting Using the Craquelure Network

This paper presents a deep learning-based system designed for generating, storing, and retrieving embeddings, specifically tailored for analyzing craquelure networks in paintings. Craquelure, the fine pattern of the craquelure network formed on a painting’s surface over time, is a unique “fingerprin...

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Vydané v:	Applied sciences Ročník 15; číslo 16; s. 9014
Hlavní autori:	Chirosca, Gianina, Radvan, Roxana, Pop, Matei, Chirosca, Alecsandru
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2025
Predmet:	Climate change Computational linguistics Computer vision convolutional neural networks Cracks craquelure detection Cultural heritage Deep learning image processing Language processing Machine learning Morphology Natural language interfaces Neural networks
ISSN:	2076-3417, 2076-3417
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