Document details

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.

This work is financed by Fund of Doctoral Program of the Ministry of Education (Approval No. 20110161110035) and National Natural Science Foundation of China (Approval No. 61174140, 61203016 and 61174050).