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Enhancing Painter Identification Through State-Of-The-Art Artistic Image Recognition Techniques

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  • Emilian Viorel Mihaila, Adrian Iftene

    (Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Romania,)

Abstract

In this work, we will present a project through which we aim to recognize an artist whether we are in front of the painting in a museum, or whether we are on the street or in our own homes. For this, by simply uploading an image to the application, it will recognize the artist with considerable accuracy and provide us with certain details about the painting. itself, about the artist and about the current that influenced this painting.

Suggested Citation

  • Emilian Viorel Mihaila, Adrian Iftene, 2023. "Enhancing Painter Identification Through State-Of-The-Art Artistic Image Recognition Techniques," Jean Monnet Chair EU Public Administration Integration and Resilience Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 0, pages 9-20, December.
    • Handle: RePEc:aic:ejpair:y:2023:v:12:p:9-20
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