Low- and high-level approaches to optical music score recognition

Author(s):  
K.C. Ng
Author(s):  
Kia Ng

This chapter describes an optical document imaging system to transform paper-based music scores and manuscripts into machine-readable format and a restoration system to touch-up small imperfections (for example broken stave lines and stems), to restore deteriorated master copy for reprinting. The chapter presents a brief background of this field, discusses the main obstacles, and presents the processes involved for printed music scores processing; using a divide-and-conquer approach to sub-segment compound musical symbols (e.g., chords) and inter-connected groups (e.g., beamed quavers) into lower-level graphical primitives (e.g., lines and ellipses) before recognition and reconstruction. This is followed by discussions on the developments of a handwritten manuscripts prototype with a segmentation approach to separate handwritten musical primitives. Issues and approaches for recognition, reconstruction and revalidation using basic music syntax and high-level domain knowledge, and data representation are also presented.


2014 ◽  
Vol 10 (4) ◽  
pp. 11-17
Author(s):  
Tam Nguyen ◽  
SooHyung Kim ◽  
HyungJeong Yang ◽  
GueeSang Lee

2016 ◽  
Vol 19 (5) ◽  
pp. 826-836 ◽  
Author(s):  
Ahmad Wisnu Mulyadi ◽  
Carmadi Machbub ◽  
Ary S. Prihatmanto ◽  
Bong-Kee Sin

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