How to Process History

Stefaner explains the art and science behind the data visualization project of summarizing the history of the 175-year-old Scientific American magazine. The texts from the predigital era of Scientific American (before 1993) are to some degree affected by optical character-recognition (OCR) errors. R...

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Bibliographic Details
Published in:Scientific American 2020-09, Vol.323 (3), p.34
Main Author: Stefaner, Moritz
Format: Magazinearticle
Language:English
Subjects:
History
Image reconstruction
Letters
Object recognition
OCR
Optical character recognition
Scientific visualization
Syntax
Visual perception
Online Access:Get full text
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Description
Summary:Stefaner explains the art and science behind the data visualization project of summarizing the history of the 175-year-old Scientific American magazine. The texts from the predigital era of Scientific American (before 1993) are to some degree affected by optical character-recognition (OCR) errors. Reconstructing the original text from images is an inherently noisy process where letters can be mixed up, words might be combined or split at the wrong places, or multicolumn layouts might be read in the wrong order.
ISSN:0036-8733
1946-7087
DOI:10.1038/scientificamerican0920-34