TY - CHAP AU - Alicia Fornes AU - Gemma Sanchez ED - D. Doermann ED - K. Tombre PY - 2014// TI - Analysis and Recognition of Music Scores BT - Handbook of Document Image Processing and Recognition SP - 749 EP - 774 VL - E PB - Springer London N2 - 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. SN - 978-0-85729-860-7 UR - http://dx.doi.org/10.1007/978-0-85729-859-1_24 N1 - DAG; ADAS; 600.076; 600.077 ID - Alicia Fornes2014 ER -