The original publication is available at www.springerlink.comArticleINTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION. 9(1): 49-58 (2007)journal articl

Maruyama,  M

Miyao,  H

International Journal on Document Analysis and Recognition (IJDAR)

English

The objective of this study is to produce a system that would allow music symbols to be written by hand using a pen-based computer that would simulate the feeling of writing on sheets of paper and that would also accurately recognize the music symbols. To accomplish these objectives, the following methods are proposed: (1) Two features, time-series data and an image of a handwritten stroke, are used to recognize strokes; and (2) The strokes are combined, as eciently as possible, and outputted automatically as a music symbol. As a result, recognition rates of 97.60 % and 98.80 % were obtained in tests with strokes and music symbols, respectively

Hidetoshi Miyao

Minoru Maruyama

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An online handwritten music symbol recognition system

Shinshu University Institutional Repository

https://soar-ir.shinshu-u.ac.jp/dspace/bitstream/10091/285/1/IJDAR-05-03-0042R2.pdf

An online handwritten music symbol recognition system

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Shinshu University Institutional Repository