A Lightweight and Effective Music Score Recognition on Mobile Phones


Tam Nguyen, Gueesang Lee, Journal of Information Processing Systems Vol. 11, No. 3, pp. 438-449, Jun. 2015  

10.3745/JIPS.02.0023
Keywords: Mobile Camera, Music Score, SVM, Symbol Classification
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Abstract

Recognition systems for scanned or printed music scores that have been implemented on personal computers have received attention from numerous scientists and have achieved significant results over many years. A modern trend with music scores being captured and played directly on mobile devices has become more interesting to researchers. The limitation of resources and the effects of illumination, distortion, and inclination on input images are still challenges to these recognition systems. In this paper, we introduce a novel approach for recognizing music scores captured by mobile cameras. To reduce the complexity, as well as the computational time of the system, we grouped all of the symbols extracted from music scores into ten main classes. We then applied each major class to SVM to classify the musical symbols separately. The experimental results showed that our proposed method could be applied to real time applications and that its performance is competitive with other methods.


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Cite this article
[APA Style]
Tam Nguyen and Gueesang Lee (2015). A Lightweight and Effective Music Score Recognition on Mobile Phones. Journal of Information Processing Systems, 11(3), 438-449. DOI: 10.3745/JIPS.02.0023.

[IEEE Style]
T. Nguyen and G. Lee, "A Lightweight and Effective Music Score Recognition on Mobile Phones," Journal of Information Processing Systems, vol. 11, no. 3, pp. 438-449, 2015. DOI: 10.3745/JIPS.02.0023.

[ACM Style]
Tam Nguyen and Gueesang Lee. 2015. A Lightweight and Effective Music Score Recognition on Mobile Phones. Journal of Information Processing Systems, 11, 3, (2015), 438-449. DOI: 10.3745/JIPS.02.0023.