DocumentCode :
2628701
Title :
Printed music recognition
Author :
Randriamahefa, R. ; Cocquerez, J.P. ; Fluhr, C. ; Pepin, F. ; Philipp, S.
Author_Institution :
Inst. Nat. des Jeunes Aveugles, Paris, France
fYear :
1993
fDate :
20-22 Oct 1993
Firstpage :
898
Lastpage :
901
Abstract :
The different steps to recognize printed music are described. The first step is to detect and to eliminate the staff lines. A robust method based on finding regions where are only the staff lines, linking between them the staff lines pieces in these regions is used. After staff lines elimination, symbols are isolated and a representation called attributed graph is constructed for each symbol. Thinning, polygonalization, spurious segments cleaning, and segment fusion are performed. A first classification, separating all notes with black heads from others, is performed. To recognize notes with black heads (beamed group or quarter notes), a straightforward structural approach using this representation is sufficient and efficient in most cases. In the ambiguous cases (chord or black head linked to two stems), an ellipse matching method is used. To recognize half notes and bar lines, a structural method using the graph is used
Keywords :
image recognition; music; attributed graph; bar lines; beamed group; ellipse matching method; graph; half notes; polygonalization; printed music recognition; quarter notes; robust method; segment fusion; spurious segments cleaning; staff lines; symbols; Automatic speech recognition; Cleaning; Head; Image resolution; Image segmentation; Joining processes; Multiple signal classification; Robustness; Speech recognition; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1993., Proceedings of the Second International Conference on
Conference_Location :
Tsukuba Science City
Print_ISBN :
0-8186-4960-7
Type :
conf
DOI :
10.1109/ICDAR.1993.395592
Filename :
395592
Link To Document :
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