DocumentCode :
2805222
Title :
Matrix-based classifiers applied to recognition of musical notation symbols
Author :
Smiatacz, Maciej ; Malina, Witold
Author_Institution :
Fac. of Electron., Telecommun. & Inf., Gdansk Univ. of Technol., Gdansk
fYear :
2008
fDate :
18-21 May 2008
Firstpage :
1
Lastpage :
4
Abstract :
The paper presents the application of matrix-based classifiers to the problem of automatic recognition of musical notation symbols. The idea of classification algorithms operating on matrices instead of feature vectors is briefly introduced together with a short description of methods that we have recently proposed. The experiments that we report show that the matrix-based approach can be used to improve the effectiveness and usefulness of the OMR system developed in our department as a part of the digital library of musical documents.
Keywords :
image classification; matrix algebra; music; optical character recognition; matrix-based classifier; musical document; musical notation symbol recognition; optical music recognition; Classification algorithms; Covariance matrix; Feature extraction; Informatics; Information technology; Optical character recognition software; Optical scattering; Ordinary magnetoresistance; Paper technology; Software libraries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. IT 2008. 1st International Conference on
Conference_Location :
Gdansk
Print_ISBN :
978-1-4244-2244-9
Electronic_ISBN :
978-1-4244-2245-6
Type :
conf
DOI :
10.1109/INFTECH.2008.4621678
Filename :
4621678
Link To Document :
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