A new optical music recognition system based on combined neural network

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • We propose a new OMR system to recognize the music symbols without segmentation. • A new classifier named Combined Neural Network(CNN) is presented. • Tests conducted on fifteen pages of music sheets show that the proposed method constitutes an interesting contribution to OMR. • The Combined Neural Network(CNN) offers superior classification capability. Optical Music Recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we propose a new OMR system to recognize the music symbols without segmentation. We present a new classifier named Combined Neural Network(CNN) that offers superior classification capability. We conduct tests on fifteen pages of music sheets, which are real and scanned images. The tests show that the proposed method constitutes an interesting contribution to OMR.