A word spotting framework for historical machine-printed documents

dc.contributor.author	Κεσίδης, Αναστάσιος Λ.	el
dc.contributor.author	Γαλιώτου, Ελένη	el
dc.contributor.author	Γάτος, Βασίλειος	el
dc.contributor.author	Πρατικάκης, Ιωάννης Ε.	el
dc.date.accessioned	2015-05-24T20:06:11Z
dc.date.available	2015-05-24T20:06:11Z
dc.date.issued	2015-05-24
dc.identifier.uri	http://hdl.handle.net/11400/11084
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/article/10.1007%2Fs10032-010-0134-4	el
dc.subject	Natural language processing (Computer science)
dc.subject	Computational morphology
dc.subject	Υπολογιστική μορφολογία
dc.subject	Historical document indexing
dc.subject	Ιστορική ευρετηρίαση έγγραφου
dc.subject	Επεξεργασία φυσικής γλώσσας
dc.subject	Word spotting
dc.subject	Εντοπισμός λέξεων
dc.title	A word spotting framework for historical machine-printed documents	en
heal.type	journalArticle
heal.classification	Computer science
heal.classification	Information systems
heal.classification	Πληροφορική
heal.classification	Πληροφοριακά συστήματα
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	http://skos.um.es/unescothes/C01993
heal.classificationURI	N/A-Πληροφορική
heal.classificationURI	N/A-Πληροφοριακά συστήματα
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh88002425
heal.identifier.secondary	ISSN: 14332833
heal.identifier.secondary	DOI: 10.1007/s10032-010-0134-4
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2011-06
heal.bibliographicCitation	Kesidis, A. L., Galiotou, E., Gatos, B. and Pratikakis, I. E. (2011). A word spotting framework for historical machine-printed documents. "International Journal on Document Analysis and Recognition", 14(2). June 2011. pp 131-144. Available from: http://link.springer.com/article/10.1007%2Fs10032-010-0134-4.	en
heal.abstract	In this paper, we propose a word spotting framework for accessing the content of historical machine-printed documents without the use of an optical character recognition engine. A preprocessing step is performed in order to improve the quality of the document images, while word segmentation is accomplished with the use of two complementary segmentation methodologies. In the proposed methodology, synthetic word images are created from keywords, and these images are compared to all the words in the digitized documents. A user feedback process is used in order to refine the search procedure. The methodology has been evaluated in early Modern Greek documents printed during the seventeenth and eighteenth century. In order to improve the efficiency of accessing and search, natural language processing techniques have been addressed that comprise a morphological generator that enables searching in documents using only a base word-form for locating all the corresponding inflected word-forms and a synonym dictionary that further facilitates access to the semantic context of documents.	en
heal.publisher	Springer-Verlag	en
heal.journalName	International Journal on Document Analysis and Recognition	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true