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A Computational Study of the Internal Structure of Historical Papers: Leonardo da Vinci's Notebooks

Using light-based image analysis, we describe a computational approach to minimize surface marks and writing in original documents. This facilitates accurate matching of watermarks and chain/wire lines, making it possible to identify and suggest connections among da Vinci’s papers made from the same papermaking mold—meaningful evidence of origin, sequence and date.

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