Optical Music Recognition on Android Platform
Conference proceedings article
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Publication Details
Author list: Luangnapa N., Silpavarangkura T., Nukoolkit C., Mongkolnam P.
Publisher: Springer Verlag (Germany): Computer Proceedings
Publication year: 2012
Volume number: 344
Start page: 106
End page: 115
Number of pages: 10
ISBN: 9783642350757
ISSN: 1865-0929
Languages: English-Great Britain (EN-GB)
Abstract
This paper describes the concept and algorithms used in an optical music recognition application on the Android mobile platform. The application can recognize a scanned image or an image taken from a camera phone of sheet music to be interpreted and exported as a playable melody in both MIDI and MusicXML formats while handling resource utilization on an Android mobile phone platform. Limited processing performance and memory capacity, including the lack of image processing and other related APIs, are major issues that cause the algorithms used in the application to be different from traditional approaches applied in software on a PC platform. The proposed system performed with a 76.03% accuracy rate for the scanned sheet music and 71.43% for the sheet music captured by a mobile phone's camera, which are quite significant values for a mobile platform with limited resources. ฉ Springer-Verlag Berlin Heidelberg 2012.
Keywords
Android platform
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