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Proceedings Paper

Optical music recognition using skeleton structure and neural network
Author(s): Seok Cheol Chang; Sang Moon Soak; Taehwan Shin; Byung-Ha Ahn
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Paper 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.

Paper Details

Date Published: 6 March 2002
PDF: 9 pages
Proc. SPIE 4734, Optical Pattern Recognition XIII, (6 March 2002); doi: 10.1117/12.458408
Show Author Affiliations
Seok Cheol Chang, Kwangju Institute of Science and Technology (South Korea)
Sang Moon Soak, Kwangju Institute of Science and Technology (South Korea)
Taehwan Shin, Kwangju Institute of Science and Technology (South Korea)
Byung-Ha Ahn, Kwangju Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 4734:
Optical Pattern Recognition XIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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