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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