Research Of Numbered Musical Notation Recognition

Numbered Musical Notation(NMN) is one of the most familiar and common music scores, but it is seldom that anyone studies about its recognition in Optical Music Recognition (OMR) field at present, and everyone focus on the research of Staff Score Recognition. In the base of deeply study of the features of NMN, this paper proposes an approach of fulfilling the recognition. After pre-dealing the inputted optical MNM, extracts the NMN part according to the bar line feature at first. Then locate primitive objects through projections and flood-fill algorithms. And use diverse algorithms to recognize the type of every primitive object. Lastly assemble them to musical features to form digital musical score. The result of the experiment indicate the satisfying effect that achieved by using this method to recognize the NMN.