Vom Zeichen zur Schrift: Mit Mustererkennung zur automatisierten Schreiberhanderkennung in mittelalterlichen und frühneuzeitlichen Handschriften
For Digital Humanities in medieval studies and early modern studies, the digitization of manuscripts is a central field. Since each manuscript displays its own unique characteristics, the automatic generation of a ma...
| Main Authors: | , , |
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| Format: | Article |
| Language: | deu |
| Published: |
Forschungsverbund Marbach Weimar Wolfenbüttel
2015-02-01
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| Series: | Zeitschrift für digitale Geisteswissenschaften |
| Subjects: | |
| Online Access: | http://www.zfdg.de/node/138 |
| Summary: | For Digital Humanities in medieval studies and early modern studies, the
digitization of manuscripts is a central field. Since each manuscript
displays its own unique characteristics, the automatic generation of a
machine-readable text using Optical Character Recognition (OCR) as
applied to digital images leads, in most cases, to error-prone results.
However, characteristics of handwriting such as the size of letters and
spacing, slope, and so on can be used to identify the scribe or scribes.
This paper demonstrates how the analysis of manuscript images can be
used to identify the scribe or scribes. An algorithym will support
additional paleographic and codicological findings and provide evidence
for the verification or falsification of uncertain attributions. |
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| ISSN: | 2510-1358 |