ENHANCING PAINTER IDENTIFICATION THROUGH STATE-OF-THE-ART ARTISTIC IMAGE RECOGNITION TECHNIQUES
Adrian Iftene Emilian Viorel Mihaila
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Adrian Iftene Emilian Viorel Mihaila: Faculty of Computer Science, Alexandru Ioan Cuza University of Iasi, Romania,
Jean Monnet Chair EU Public Administration Integration and Resilience Studies, 2023, vol. December 2023, 9-20
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.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:aic:ejpair:y:2023:v:12:p:9-20
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