Optical music recognition: Architecture and algorithms

Optical music recognition is a key problem for coding western music sheets in the digital world. This problem has been addressed in several manners, obtaining suitable results only when simple music constructs are processed. To this end, several different strategies have been followed to pass from the simple music sheet image to a complete and consistent representation of music notation symbols (symbolic music notation or representation). Typically, image processing, pattern recognition, and symbolic reconstruction are the technologies that have to be considered and applied in several manners; the architecture of the so called OMR (optical music recognition) systems. In this chapter, the O3MR (object oriented optical music recognition) system is presented. It allows producing from the image of a music sheet the symbolic representation and saving it in XML format (WEDELMUSIC XML and MUSICXML). The algorithms used in this process are those of the image processing, image segmentation, neural network pattern recognition, and symbolic reconstruction and reasoning. Most of the solutions can be applied in other fields of image understanding. The development of the O3MR solution with all its algorithms has been partially supported by the European Commission in the IMUTUS Research and Development project, while the related music notation editor has been partially funded by the research and development WEDELMUSIC project of the European Commission. © 2008, IGI Global.