Title :
An efficient method for the recognition of printed music
Author_Institution :
Nat. Inst. of Appl. Sci., Villeurbanne, France
fDate :
30 Aug-3 Sep 1992
Abstract :
Deals with the recognition mechanisms of printed music scores. The techniques for extracting linear features, keys, noteheads and other musical figures from a digitized image are presented. Experimental results are given to show the effectiveness of the proposed methodology with a discussion of its performances and limits. Applications to full automated music score extraction, printed or handwritten are also discussed
Keywords :
feature extraction; music; pattern recognition; digitized image; feature extraction; handwritten music; keys; linear features; noteheads; pattern recognition; printed music scores; Feature extraction; Handwriting recognition; Histograms; Image converters; Machine vision; Multiple signal classification; Pattern recognition; Real time systems; Robot vision systems; Robotics and automation;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202052
