Moldmates Matter: Computational Tools to Enhance, Measure, Compare, and Match Historical Papers

IF 0.1 3区 艺术学 0 ART
M. Ellis, C. R. Johnson, W. Sethares
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引用次数: 0

Abstract

Every sheet of premachine European paper bears the marks of three unique features of the handcrafted mold that was used to form it: the watermark, intervals between chain wires, and densities of laid wires (measured in frequency per inch/centimeter). Like a fingerprint, the internal patterns produced by the mold create a singular code. Two papers formed from the same mold and, thus, sharing the same code, are called “moldmates.” Scholars have long studied watermarks and, to a lesser extent, chain-line intervals in order to identify identical papers. Confirming moldmate status, however, has been difficult due to poor imaging. Laid-line density patterns have never been systematically recorded and studied. This article presents a protocol for applying computational programs to enhance, measure, compare, and match historical papers; the method is illustrated through case studies involving watermarked papers found in the Codex Leicester (Gates Collection) and the Codex Arundel (British Library, MS 263) by Leonardo da Vinci (1452–1519).
模数重要:提高、测量、比较和匹配历史论文的计算工具
每一张机器前的欧洲纸都带有手工制作的模具的三个独特特征:水印、链线之间的间隔和铺设的线的密度(以每英寸/厘米的频率测量)。就像指纹一样,模具产生的内部图案产生了一个单一的代码。由同一模子形成的两张纸,因此,共享相同的代码,被称为“模子伙伴”。长期以来,学者们一直在研究水印,并在较小程度上研究链线间隔,以识别相同的纸张。然而,由于成像不良,确认霉菌状态一直很困难。地层密度模式从未被系统地记录和研究过。本文提出了一种应用计算程序来增强、测量、比较和匹配历史论文的协议;该方法通过案例研究来说明,这些案例研究涉及列奥纳多·达·芬奇(1452-1519)在莱斯特抄本(盖茨收藏)和阿伦德尔抄本(大英图书馆,MS 263)中发现的水印论文。
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来源期刊
CiteScore
0.20
自引率
0.00%
发文量
24
期刊介绍: The Getty Research Journal features the work of art historians, museum curators, and conservators around the world as part of the Getty’s mission to promote the presentation, conservation, and interpretation of the world''s artistic legacy. Articles present original scholarship related to the Getty’s collections, initiatives, and research. The journal is now available in a variety of digital formats: electronic issues are available on the JSTOR platform, and the e-Book Edition for iPad, iPhone, Kindle, Android, or computer is available for download.
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