6 March 2002 Optical music recognition using skeleton structure and neural network
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Abstract
In this paper, our experiment consists of three steps to recognize printed music. The first step is the pre-processing stage: finding threshold for binary images, identifying staff-line parts, and removing them. The second step is the recognition stage. We first classify notes and other symbols by their sizes and characteristics. The skeleton structure analysis is used for recognizing music notes due to their complex combination of piano scores and the back-propagation and projection profile method are used for other symbols after their normalizing. The last step is the review stage. In which we investigate their syntactic validity and correct unrecognized or misconceived symbols.
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Seok Cheol Chang, Seok Cheol Chang, Sang Moon Soak, Sang Moon Soak, Taehwan Shin, Taehwan Shin, Byung-Ha Ahn, Byung-Ha Ahn, } "Optical music recognition using skeleton structure and neural network", Proc. SPIE 4734, Optical Pattern Recognition XIII, (6 March 2002); doi: 10.1117/12.458408; https://doi.org/10.1117/12.458408
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