Title :
Optical music recognition based on a fuzzy modeling of symbol classes and music writing rules
Author :
Rossant, Florence ; Bloch, Isabelle
Author_Institution :
ISEP, Paris, France
Abstract :
We propose an OMR method based on fuzzy modeling of the information extracted from the scanned score and of musical rules. The aim is to disambiguate the recognition hypotheses output by the individual symbol analysis process. Fuzzy modeling allows to account for imprecision in symbol detection, for typewriting variations, and for flexibility of rules. Tests conducted on a hundred of music sheets result in a global recognition rate of 98.55%, and show good performances compared to SmartScore.
Keywords :
fuzzy set theory; image recognition; music; object detection; optical information processing; SmartScore; fuzzy modeling; individual symbol analysis process; information extraction; music writing rules; optical music recognition; recognition hypotheses; rules flexibility; scanned score; symbol classes; symbol detection; typewriting variations; Data mining; Image recognition; Multiple signal classification; Ordinary magnetoresistance; Pattern analysis; Pattern recognition; Performance evaluation; Printing; Testing; Writing;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530111
