ENHANCING PAINTER IDENTIFICATION THROUGH STATE-OF-THE-ART ARTISTIC IMAGE RECOGNITION TECHNIQUES Cover Image

ENHANCING PAINTER IDENTIFICATION THROUGH STATE-OF-THE-ART ARTISTIC IMAGE RECOGNITION TECHNIQUES
ENHANCING PAINTER IDENTIFICATION THROUGH STATE-OF-THE-ART ARTISTIC IMAGE RECOGNITION TECHNIQUES

Author(s): Emilian Viorel Mihăilă, Adrian Iftene
Subject(s): Social Sciences, Visual Arts, ICT Information and Communications Technologies
Published by: Editura Universităţii »Alexandru Ioan Cuza« din Iaşi
Keywords: Painter identification; ResNet; MobileNet;

Summary/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.

  • Issue Year: 2/2023
  • Issue No: 2
  • Page Range: 9-20
  • Page Count: 12
  • Language: English
Toggle Accessibility Mode