Proceedings of the Korea Contents Association Conference (한국콘텐츠학회:학술대회논문집)
- 2015.05a
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- Pages.53-54
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- 2015
Recognizing Chord Symbols in Printed Korean Musical Images Using Lexicon-Driven Approach
- Dinh, Minh (Chonnam National University) ;
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Yang, Hyung-Jeong
(Chonnam National University) ;
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Lee, Guee-Sang
(Chonnam National University) ;
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Kim, Soo-Hyung
(Chonnam National University) ;
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Na, In-Seop
(Chonnam National University)
- Published : 2015.05.01
Abstract
Optical music recognition (OMR) systems have been developed in recent years. However, chord symbols that play a role in a music sheet have been still disregarded. Therefore, we aimed to develop a proper approach to recognize these chord symbols. First, we divide the image of chord symbol into small segments in horizontal by a method based on vertical projection. Then, the optimal combination of these segments is found by using a lexicon-driven word scoring technique and a nearest neighbor classifier. The word that corresponds to the optimal combination is the result of recognition. The experiment gives an impressive result with accuracy 97.32%.
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