Processing of Byzantine Neume Notation in Ancient Historical Manuscripts

Laskov, Lasko

Serdica Journal of Computing (2011)

  • Volume: 5, Issue: 2, page 183-198
  • ISSN: 1312-6555

Abstract

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This article presents the principal results of the doctoral thesis “Recognition of neume notation in historical documents” by Lasko Laskov (Institute of Mathematics and Informatics at Bulgarian Academy of Sciences), successfully defended before the Specialized Academic Council for Informatics and Mathematical Modelling on 07 June 2010.Byzantine neume notation is a specific form of note script, used by the Orthodox Christian Church since ancient times until nowadays for writing music and musical forms in sacred documents. Such documents are an object of extensive scientific research and naturally with the development of computer and information technologies the need of a software tool which can assist these efforts is needed. In this paper a set of algorithms for processing and analysis of Byzantine neume notation are presented which include document image segmentation, character feature vector extraction, classifier learning and character recognition. The described algorithms are implemented as an integrated scientific software system.* This work has been partly supported by Grant No. DTK 02/54, Bulgarian Science Fund, Ministry of Education, Youth and Science.

How to cite

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Laskov, Lasko. "Processing of Byzantine Neume Notation in Ancient Historical Manuscripts." Serdica Journal of Computing 5.2 (2011): 183-198. <http://eudml.org/doc/196267>.

@article{Laskov2011,
abstract = {This article presents the principal results of the doctoral thesis “Recognition of neume notation in historical documents” by Lasko Laskov (Institute of Mathematics and Informatics at Bulgarian Academy of Sciences), successfully defended before the Specialized Academic Council for Informatics and Mathematical Modelling on 07 June 2010.Byzantine neume notation is a specific form of note script, used by the Orthodox Christian Church since ancient times until nowadays for writing music and musical forms in sacred documents. Such documents are an object of extensive scientific research and naturally with the development of computer and information technologies the need of a software tool which can assist these efforts is needed. In this paper a set of algorithms for processing and analysis of Byzantine neume notation are presented which include document image segmentation, character feature vector extraction, classifier learning and character recognition. The described algorithms are implemented as an integrated scientific software system.* This work has been partly supported by Grant No. DTK 02/54, Bulgarian Science Fund, Ministry of Education, Youth and Science.},
author = {Laskov, Lasko},
journal = {Serdica Journal of Computing},
keywords = {Historical Document Image Processing; Optical Character Recognition; Neume Notation; historical document image processing; optical character recognition; neume notation},
language = {eng},
number = {2},
pages = {183-198},
publisher = {Institute of Mathematics and Informatics Bulgarian Academy of Sciences},
title = {Processing of Byzantine Neume Notation in Ancient Historical Manuscripts},
url = {http://eudml.org/doc/196267},
volume = {5},
year = {2011},
}

TY - JOUR
AU - Laskov, Lasko
TI - Processing of Byzantine Neume Notation in Ancient Historical Manuscripts
JO - Serdica Journal of Computing
PY - 2011
PB - Institute of Mathematics and Informatics Bulgarian Academy of Sciences
VL - 5
IS - 2
SP - 183
EP - 198
AB - This article presents the principal results of the doctoral thesis “Recognition of neume notation in historical documents” by Lasko Laskov (Institute of Mathematics and Informatics at Bulgarian Academy of Sciences), successfully defended before the Specialized Academic Council for Informatics and Mathematical Modelling on 07 June 2010.Byzantine neume notation is a specific form of note script, used by the Orthodox Christian Church since ancient times until nowadays for writing music and musical forms in sacred documents. Such documents are an object of extensive scientific research and naturally with the development of computer and information technologies the need of a software tool which can assist these efforts is needed. In this paper a set of algorithms for processing and analysis of Byzantine neume notation are presented which include document image segmentation, character feature vector extraction, classifier learning and character recognition. The described algorithms are implemented as an integrated scientific software system.* This work has been partly supported by Grant No. DTK 02/54, Bulgarian Science Fund, Ministry of Education, Youth and Science.
LA - eng
KW - Historical Document Image Processing; Optical Character Recognition; Neume Notation; historical document image processing; optical character recognition; neume notation
UR - http://eudml.org/doc/196267
ER -

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