Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks

Laskov, Lasko. "Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks." Serdica Journal of Computing 6.1 (2012): 111-120. <http://eudml.org/doc/219586>.

@article{Laskov2012,
abstract = {ACM Computing Classification System (1998): I.7, I.7.5.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.This work has been partially supported by Grant No. DO02-275/2008, Bulgarian NSF, Ministry of Education and Science.},
author = {Laskov, Lasko},
journal = {Serdica Journal of Computing},
keywords = {Astronomical Logbooks; Document Image Processing; Adaptive Image Binarization},
language = {eng},
number = {1},
pages = {111-120},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks},
url = {http://eudml.org/doc/219586},
volume = {6},
year = {2012},
}

TY - JOUR
AU - Laskov, Lasko
TI - Adaptive Document Image Binarization with Application in Processing Astronomical Logbooks
JO - Serdica Journal of Computing
PY - 2012
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 6
IS - 1
SP - 111
EP - 120
AB - ACM Computing Classification System (1998): I.7, I.7.5.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.This work has been partially supported by Grant No. DO02-275/2008, Bulgarian NSF, Ministry of Education and Science.
LA - eng
KW - Astronomical Logbooks; Document Image Processing; Adaptive Image Binarization
UR - http://eudml.org/doc/219586
ER -