Please use this identifier to cite or link to this item:
Title: Staff detection with stable paths
Authors: Cardoso, Jaime S.
Rebelo, Ana
Capela, Artur
Guedes, Carlos
Costa, Joaquim Pinto da
Keywords: Music
Optical character recognition
Document image processing
Image analysis
Issue Date: 2009
Publisher: IEEE
Citation: Cardoso, J. S., Capela, A., Rebelo, A., Guedes, C., & Costa, J. F. P. (2009). Staff detection with stable paths. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(6), 1134-1139. Disponível no Repositório UPT,
Abstract: The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.
Appears in Collections:INPP - Artigos em Revistas Internacionais / Papers in International Journals

Files in This Item:
File Description SizeFormat 
2009JaimeTPAMI.pdf2.13 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.