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.
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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
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DOI: https://doi.org/10.1007/978-3-030-11890-7_45
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