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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15944
Title: Staff line Removal using Generative Adversarial Networks
Authors: Konwer A.
Bhunia A.K.
Bhowmick A.
Bhunia A.K.
Banerjee P.
Pratim Roy, Partha
Pal U.
Published in: Proceedings of International Conference on Pattern Recognition
Abstract: Staff line removal is a crucial pre-processing step in Optical Music Recognition. In this paper we propose a novel approach for staff line removal, based on Generative Adversarial Networks. We convert staff line images into patches and feed them into a U-Net, used as Generator. The Generator intends to produce staff-less images at the output. Then the Discriminator does binary classification and differentiates between the generated fake staff-less image and real ground truth staff less image. For training, we use a Loss function which is a weighted combination of L2 loss and Adversarial loss. L2 loss minimizes the difference between real and fake staff-less image. Adversarial loss helps to retrieve more high quality textures in generated images. Thus our architecture supports solutions which are closer to ground truth and it reflects in our results. For evaluation we consider the ICDAR/GREC 2013 staff removal database. Our method achieves superior performance in comparison to other conventional approaches on the same dataset. © 2018 IEEE.
Citation: Proceedings of International Conference on Pattern Recognition, (2018), 1103- 1108
URI: https://doi.org/10.1109/ICPR.2018.8546105
http://repository.iitr.ac.in/handle/123456789/15944
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Adversarial Loss
Generative Adversarial Network
Staff-line Removal
U-Net
ISBN: 9.78154E+12
ISSN: 10514651
Author Scopus IDs: 57192375073
57188719920
57192375518
57203526133
57202820553
56880478500
57200742116
Author Affiliations: Konwer, A., Department of ECE, Institute of Engineering Management, Kolkata, India
Bhunia, A.K., Department of ECE, Institute of Engineering Management, Kolkata, India
Bhowmick, A., Department of ECE, Institute of Engineering Management, Kolkata, India
Bhunia, A.K., Department of CSE, Indian Institute of Technology, Roorkee, India
Banerjee, P., Department of CSE, Institute of Engineering and Management, Kolkata, India
Roy, P.P., Department of CSE, Indian Institute of Technology Roorkee, India
Pal, U., CVPR Unit, Indian Statistical Institute, Kolkata, India
Appears in Collections:Conference Publications [CS]

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