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Novel Artist Identification Approach Through Digital Image Analysis Using Machine Learning and Merged Images

  • Peter StanchevEmail author
  • Michael Kolinski
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 918)

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.

Keywords

Image analysis Machine learning Artist identification 

References

  1. 1.
    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
  2. 2.
    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
  3. 3.
    Gewali, U., Monteiro, S., Saber, S.: Machine learning based hyperspectral image analysis: a survey. ISPRS J. Photogrammetry and Remote Sens. (2018). arXiv:1802.08701
  4. 4.
    Blessing, A., Wen, K.: Using Machine Learning for Identification of Art Paintings (2018)Google Scholar
  5. 5.
    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.0406398101CrossRefGoogle Scholar
  6. 6.
    Johnson, C., et al.: Image processing for artist identification. IEEE Signal Process. Magaz. 25(4), 37–48 (2008).  https://doi.org/10.1109/msp.2008.923513CrossRefGoogle Scholar
  7. 7.
    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.2011.2162830CrossRefGoogle Scholar
  8. 8.
    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.2009.5278049CrossRefGoogle Scholar
  9. 9.
    Durrant, B., Frank, E., Hunt, L., Holmes, G., Mayo, M.: Weka (Version 3.8) (Computer software). https://www.cs.waikato.ac.nz/ml/weka/
  10. 10.
    Natterer, M., Neumann, S.: GIMP (Version 2.8.22) (Computer software). https://www.gimp.org/. Accessed 14 Feb 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Kettering UniversityFlintUSA
  2. 2.IMI-BASSofiaBulgaria

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