The vast diversity of art in Indonesia generates much interest both domestically and internationally. One of the prominent cultures is the Cirebon Mask. There are five types of Cirebon masks: Panji, Samba, Rumyang, Tumenggung, and Klana. In this research, Cirebon masks are classified using digital image processing techniques using Scale-Invariant Feature Transform, while K-Nearest Neighbour, Support Vector Machines, and Random Forest are the classifiers.
- Data Collection
- The dataset was collected using two different ways: captured the Cirebon mask images using a camera and collected Cirebon mask images using a search engine application.
- Pre-Processing
- In this step, the background images were removed manually, this made the background black. After removing the background images, each image is resized to 50 x 50 pixel resolution.
- Feature Extraction
- Scale Invariant Feature Transform (SIFT)
- Classification
- K-Nearest Neighbor
- Support Vector Machine
- Random Forest
For details, you can see my article on Medium.