Title :
Recognition of musical symbols in ancient manuscripts
Author :
Vieira, P. ; Pinto, J. Culdus
Author_Institution :
Tech. Univ. Lisbon, Portugal
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper presents a system for the automatic retrieval of music from ancient music collections (XVI-XVIII century), creating digital documents of music from images of music sheets. This is an optical music recognition system that uses image processing and pattern recognition techniques. Finally, we obtain a document that contains the music semantics: description of the notes, in time and pitches, as well as other relevant information
Keywords :
Bayes methods; feature extraction; image classification; image segmentation; music; optical character recognition; pattern clustering; Bayes classifier; ancient music collections; automatic music retrieval; best class cluster search; digital documents; feature extraction; image processing; image segmentation; music semantics; optical music recognition; pattern recognition; Bars; Cleaning; Image recognition; Image reconstruction; Image segmentation; Labeling; Optical character recognition software; Ordinary magnetoresistance; Pattern recognition; Software libraries;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958045
