University of Groningen
Beyond OCR: Handwritten manuscript attribute understanding
He, Sheng
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Publication date: 2017
Link to publication in University of Groningen/UMCG research database
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He, S. (2017). Beyond OCR: Handwritten manuscript attribute understanding. University of Groningen.
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Propositions
1, There is much more information in a document scan than the textural context. (chapter 1, this thesis)
2, Conforming the expectations of paleographers, handwriting style changes gradually, continuously and generally within a relatively limited time frame. (chapter 1, this thesis)
3, Handwritten documents written by less skilled writers will contain a large number of irregular-curvature strokes. (chapter 4, this thesis)
4, Most existing methods are a special case of a general method which may not have been found yet. (chapter 7, this thesis)
5, Solving different problems on the same material usually requires different types of shape features and/or classification methods, because each method entails limitations with respect to some subset of tasks in the universe of possible problems. (this thesis, supporting Wolpert's No free lunch theorem) 6, Rather than presenting itself as an oracle, a system for document-attribute classification must consist of a transparent box with multiple tools.