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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15977
Title: Wavelet-based approach for writer identification in music score
Authors: Das D.
Chanda S.
Pratim Roy, Partha
Pal U.
Published in: Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014
Abstract: Writer identification is a vibrant research field, though a lot of work has been done on writer identification on normal text, writer identification in music score sheet has not been addressed in that large scale. Here we propose a method to identify writers of music score sheets using Daubchies wavelet features along with SVM classifier. We have evaluated our proposed approach in a sub-set of CVC-MUSCIMA dataset. From the experiment on 140 score sheet images from 7 writers we obtained encouraging results. © 2014 IEEE.
Citation: Souvenir of the 2014 IEEE International Advance Computing Conference, IACC 2014, (2014), 1152- 1156. Gurgaon
URI: https://doi.org/10.1109/IAdCC.2014.6779489
http://repository.iitr.ac.in/handle/123456789/15977
Issue Date: 2014
Publisher: IEEE Computer Society
Keywords: Music Score Writer Identification
Wavelet
Writer Identification
Author Scopus IDs: 56127052000
7005580236
56880478500
57200742116
Author Affiliations: Das, D., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-700108, India
Chanda, S., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-700108, India
Roy, P.P., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-700108, India
Pal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata-700108, India
Appears in Collections:Conference Publications [CS]

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