Automatic Estimation of the Legibility of Binarised Historic Documents for Unsupervised Parameter Tuning (bibtex)
by Martin Stommel, Gideon Frieder
Abstract:
Document enhancement tools are a valuable help in the study of historic documents. Given proper filter settings, many effects that impair the legibility can be evened out (e.g. washed out ink, stained and yellowed paper). However, because of differing authors, languages, handwritings, fonts and paper conditions, no single filter parameter set fits all documents. Therefore, the parameters are usually tuned in a time-consuming manual process to every individual document. To simplify this procedure, this paper introduces a classifier for the legibility of an enhanced historic text document. Experiments on the binarisation of a set of documents from 1938 to 1946 show that the classifier can be used to automatically derive robust filter settings for a variety of documents.
Reference:
Martin Stommel, Gideon Frieder, "Automatic Estimation of the Legibility of Binarised Historic Documents for Unsupervised Parameter Tuning", In ICDAR, 2011.
Bibtex Entry:
@INPROCEEDINGS{Stommeld,
  author = {Stommel, Martin and Frieder, Gideon},
  title = {Automatic Estimation of the Legibility of Binarised Historic Documents
	for Unsupervised Parameter Tuning},
  booktitle = ICDAR,
  year = {2011},
  month = {September18--21},
  abstract = {Document enhancement tools are a valuable help in the study of historic
	documents. Given proper filter settings, many effects that impair
	the legibility can be evened out (e.g. washed out ink, stained and
	yellowed paper). However, because of differing authors, languages,
	handwritings, fonts and paper conditions, no single filter parameter
	set fits all documents. Therefore, the parameters are usually tuned
	in a time-consuming manual process to every individual document.
	To simplify this procedure, this paper introduces a classifier for
	the legibility of an enhanced historic text document. Experiments
	on the binarisation of a set of documents from 1938 to 1946 show
	that the classifier can be used to automatically derive robust filter
	settings for a variety of documents.},
  owner = {pmania},
  timestamp = {2012.11.06}
}
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