Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1785

 Title: Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks Authors: Laskov, Lasko Keywords: Astronomical LogbooksDocument Image ProcessingAdaptive Image Binarization Issue Date: 2012 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 6, No 1, (2012), 111p-120p Abstract: Recently, the digitalization of the astronomical scientific heritage has been considered an important task that can facilitate much researches in astronomy. The creation of digital libraries and databases of astronomical photographic plates brings up the problem of digitalization astronomical logbooks, since the data contained in them is crucial for the usage of the plates. An optical character recognition (OCR) system for the handwritten numerical data is needed in order to speed up the process of database creation and extension. In this paper document image binarization is considered since it is a critical stage for the subsequent steps in an OCR software system. A specific method is proposed which outmatches the state-of-the-art techniques in the case of the images of interest. Description: ACM Computing Classification System (1998): I.7, I.7.5. URI: http://hdl.handle.net/10525/1785 ISSN: 1312-6555 Appears in Collections: Volume 6 Number 1

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