@Inbook{AliciaFornes2014,
author="Alicia Fornes
and Gemma Sanchez",
editor="D. Doermann
and K. Tombre",
chapter="Analysis and Recognition of Music Scores",
title="Handbook of Document Image Processing and Recognition",
year="2014",
publisher="Springer London",
volume="E",
pages="749--774",
abstract="The analysis and recognition of music scores has attracted the interest of researchers for decades. Optical Music Recognition (OMR) is a classical research field of Document Image Analysis and Recognition (DIAR), whose aim is to extract information from music scores. Music scores contain both graphical and textual information, and for this reason, techniques are closely related to graphics recognition and text recognition. Since music scores use a particular diagrammatic notation that follow the rules of music theory, many approaches make use of context information to guide the recognition and solve ambiguities. This chapter overviews the main Optical Music Recognition (OMR) approaches. Firstly, the different methods are grouped according to the OMR stages, namely, staff removal, music symbol recognition, and syntactical analysis. Secondly, specific approaches for old and handwritten music scores are reviewed. Finally, online approaches and commercial systems are also commented.",
optnote="DAG; ADAS; 600.076; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2484), last updated on Thu, 15 Sep 2016 16:58:08 +0200",
isbn="978-0-85729-860-7",
doi="10.1007/978-0-85729-859-1_24"
}