Title :
Wavelet-based approach for writer identification in music score
Author :
Das, Divya ; Chanda, Sukalpa ; Roy, Partha Pratim ; Pal, Umapada
Author_Institution :
Comput. Vision & Pattern RecognitionUnit, Indian Stat. Inst., Kolkata, India
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.
Keywords :
document image processing; handwriting recognition; music; support vector machines; wavelet transforms; CVC-MUSCIMA dataset; Daubchies wavelet features; SVM classifier; music score sheets; score sheet images; wavelet-based approach; writer identification; Accuracy; Conferences; Feature extraction; Support vector machines; Training; Wavelet transforms; Music Score Writer Identification; Wavelet; Writer Identification;
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
DOI :
10.1109/IAdCC.2014.6779489
