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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Luangnapa, N., Silpavarangkura, T., Nukoolkit, C., Mongkolnam, P. (2012). Optical Music Recognition on Android Platform. In: Papasratorn, B., Charoenkitkarn, N., Lavangnananda, K., Chutimaskul, W., Vanijja, V. (eds) Advances in Information Technology. IAIT 2012. Communications in Computer and Information Science, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35076-4_10
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DOI: https://doi.org/10.1007/978-3-642-35076-4_10
Publisher Name: Springer, Berlin, Heidelberg
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