Please use this identifier to cite or link to this item: https://doi.org/10.1109/DAS.2012.16
Title: An effective staff detection and removal technique for musical documents
Authors: Su, B.
Lu, S.
Pal, U.
Tan, C.L. 
Keywords: Musical Staff
Optical Music Recognition
Staff Line Removal
Staff Line Segmentation
Staff Line Shape Modeling
Issue Date: 2012
Source: Su, B.,Lu, S.,Pal, U.,Tan, C.L. (2012). An effective staff detection and removal technique for musical documents. Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 : 160-164. ScholarBank@NUS Repository. https://doi.org/10.1109/DAS.2012.16
Abstract: Musical staff line detection and removal techniques detect the staff positions in musical documents and segment musical score from musical documents by removing those staff lines. It is an important preprocessing step for ensuing the Optical Music Recognition tasks. This paper proposes an effective staff line detection and removal method that makes use of the global information of the musical document and models the staff line shape. It first estimates the staff height and space, and then models the shape of the staff line by examining the orientation of the staff pixels. At last the estimated model is used to find out the location of staff lines and hence to remove those detected staff lines. The proposed technique is simple, robust, and involves few parameters. It has been tested on the dataset of the recent staff removal competition held under the International Conference of Document Analysis and Recognition(ICDAR) 2011. Experimental results show the effectiveness and robustness of our proposed technique on musical documents with various types of deformations. © 2012 IEEE.
Source Title: Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
URI: http://scholarbank.nus.edu.sg/handle/10635/41868
ISBN: 9780769546612
DOI: 10.1109/DAS.2012.16
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

18
checked on Dec 13, 2017

Page view(s)

67
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


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