An online handwritten music score recognition system

Author

Miyao, Hidetoshi ; Maruyama, Minoru

Author_Institution

Dept. of Inf. Eng., Shinshu Univ., Nagano, Japan

Volume

1

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

461

Abstract

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 efficiently 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.

Keywords

handwritten character recognition; image recognition; music; nomenclature; support vector machines; handwritten image recognition; handwritten stroke recognition; music score recognition system; music symbol recognition; online handwritten recognition system; pen based computer; time series data; Computational modeling; Computer simulation; Handwriting recognition; Head; Image recognition; Keyboards; Multiple signal classification; Music; Shape; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334164

Filename

1334164