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The non-invasive technique of multispectral imaging, combined with statistical algorithms for enhancing hidden patterns (Principal Component Analysis and Independent Component Analysis), has proven to be highly effective in identifying watermarks and digitizing cultural heritage, particularly in preserving historical data and analyzing artifacts. This paper focuses on the application of multispectral imaging to analyze and authenticate watermarks in Euclid’s book “Liber Elementorum” from 1482. When traditional methods of watermark detection fail due to graphic impressions or handwriting obscuring the watermark, multispectral imaging proves effective in revealing watermarks, which is crucial for authentication. Using camera
systems that can detect different light wavelengths, images were captured across multiple spectral bands to uncover hidden watermark details. A total of 62 watermarks were analyzed using a high-resolution monochromatic sensor and spectral filters. The results were then noise-filtered, leading to successful vectorized representations.
Multispectral Imaging, Watermarks, Euclid’s Liber Elementorum, Principal Component Analysis, Independent Component Analysis.
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