Dissemin is shutting down on January 1st, 2025

Published in

Elsevier, Pattern Recognition Letters, (58), p. 1-7, 2015

DOI: 10.1016/j.patrec.2015.02.002

Links

Tools

Export citation

Search in Google Scholar

A new Optical Music Recognition system based on Combined Neural Network

Journal article published in 2015 by Cuihong Wen, Ana Rebelo ORCID, Jing Zhang, Jaime Cardoso ORCID
This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

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.