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)


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.


Image analysis Machine learning Artist identification 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

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

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