Doesburg, T. (2008) Optical Music Recognition of handwritten scores using structural pattern recognition. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Optical music recognition (OMR) is a form of optical character recognition (OCR). Instead of automatic recognition of text, like OCR, OMR focuses on the recognition of musical scores. Commercial software that performs OMR on machine printed scores already exists and produces great results. When the same software gets handwritten music as input, its performance drops dramatically. In this report we explore the recognition of handwritten musical scores. With the use of connected components, structural- and statistical pattern recognition to deal with the variability of handwritten musical symbols we obtained a total precision of 96.2% and a recall of 85.1%. This article focuses on the structural recognition of the music, while the article of Michiel Bergmans (2008) focuses on the statistical part. Furthermore some issues concerning the use of connected components will be discussed as well as the poor recognition of some symbols.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:45 |
| Last Modified: | 15 Feb 2018 07:45 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/9510 |
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