Stafflines pattern detection using the swarm intelligence algorithm

Authors:
Weronika Piątkowska;Leszek Nowak;Marcin Pawłowski;Maciej Ogorzałek
Affiliations:
Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland;Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland;Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland;Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

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Abstract

This paper demonstrates the application of the Swarm Intelligence (SI) algorithm to recognize the specific patterns that are present in the digital images of handwritten music scores. The application introduced in this paper involves the detection of stafflines using particle swarm. The introduced solution described in this paper is a new approach to the problem, and illustrates how optimization algorithm can be modified and successfully applied in different subjects such as pattern recognition. The developed algorithm can be used as a first stage in Optical Music Recognition (OMR) that is followed by the staffline removal phase. It is worth pointing out, that contrary to most state-of-the-art algorithms, the proposed method does not require a binarization step in the preprocessing stage.