Abstract
Artist identification has been an interesting task for centuries. Machine learning algorithms are used to solve this problem. An artist’s profile is obtained through an artist’s merged images enhanced with layer and transparency tools. The machine learning J48 algorithm is utilized for classification. Cohen’s Kappa, F-measure, and Matthew’s correlation coefficient statistics are applied to compare the results obtained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ivanova, K., Stanchev, P., Vanhoof, K., Ein-Dor, P.: Semantic and abstraction content of art images. In: MCIS 2010 (2010). http://aisel.aisnet.org/mcis2010/42
Herens, E., Defeyt, C., Walter, P., Strivay, D.: Discovery of a woman portrait behind La Violoniste by Kees van Dongen through hyperspectral imaging. Herit. Sci. 5(1) (2017). https://doi.org/10.1186/s40494-017-0127-4
Gewali, U., Monteiro, S., Saber, S.: Machine learning based hyperspectral image analysis: a survey. ISPRS J. Photogrammetry and Remote Sens. (2018). arXiv:1802.08701
Blessing, A., Wen, K.: Using Machine Learning for Identification of Art Paintings (2018)
Lyu, S., Rockmore, D., Farid, H.: A digital technique for art authentication. Proc. Natl. Acad. Sci. 101(49), 17006–17010 (2004). https://doi.org/10.1073/pnas.0406398101
Johnson, C., et al.: Image processing for artist identification. IEEE Signal Process. Magaz. 25(4), 37–48 (2008). https://doi.org/10.1109/msp.2008.923513
Ozparlak, L., Avcibas, I.: Differentiating between images using wavelet-based transforms: a comparative study. IEEE Trans. Inf. Forensics Secur. 6(4), 1418–1431 (2011). https://doi.org/10.1109/tifs.2011.2162830
Shirali-Shahreza, S., Abolhassani, H., Shirali-Shahreza, M.: Fast and scalable system for automatic artist identification. IEEE Trans. Consum. Electron. 55(3), 1731–1737 (2009). https://doi.org/10.1109/tce.2009.5278049
Durrant, B., Frank, E., Hunt, L., Holmes, G., Mayo, M.: Weka (Version 3.8) (Computer software). https://www.cs.waikato.ac.nz/ml/weka/
Natterer, M., Neumann, S.: GIMP (Version 2.8.22) (Computer software). https://www.gimp.org/. Accessed 14 Feb 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Stanchev, P., Kolinski, M. (2019). Novel Artist Identification Approach Through Digital Image Analysis Using Machine Learning and Merged Images. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_45
Download citation
DOI: https://doi.org/10.1007/978-3-030-11890-7_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11889-1
Online ISBN: 978-3-030-11890-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)