Towards Automatic Painting Authentication
نویسندگان
چکیده
This work investigates pattern recognition techniques that can be used to identify the author of fine art paintings. The methodology proposed consists of four sequential phases: image acquisition, segmentation, feature extraction, and classification. Brushstrokes are segmented assuming that hue is uniform within a single brushstroke. Using a wavelet-based technique, textures are measured and used as features to describe the brustrokes in the painting. Classification is performed through two distinct non-parametric algorithms: Fuzzy KNN and Kohonen Map. A system was built to evaluate the proposed approach in discriminating between two different painters. A database consisting of images from 3 1 paintings was used in the experiments. The system was able to attain a recognition rate better than 99%.
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