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ugail / sketch-verification

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Code and results for one-class autoencoder verification of historical sketches using handcrafted features (Fourier energy, Shannon entropy, contrast, GLCM homogeneity, fractal dimension) and deep feature baselines (ResNet50, EfficientNet-V2). Companion repository to Ugail et al., PLOS ONE (2026).

computer-vision autoencoder digital-humanities glcm fourier-transform anomaly-detection one-class-learning fractal-dimension texture-analysis shannon-entropy handcrafted-features image-feature-extraction computational-art-history sketch-verification art-authentication historical-sketches
  • Updated Apr 26, 2026
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