Kekarangan Balinese Carving Classification Using Gabor Convolutional Neural Network

Kekarangan Balinese Carving Classification Using Gabor Convolutional Neural Network

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Balinese traditional carvings are Balinese culture that can easily be found on the island of Bali, starting from the decoration of Hindu temples and traditional Balinese houses.One of the types of Balinese traditional carving ornaments is Kekarangan ornament carving.Apart from the many traditional Balinese carvings, Balinese people only know the shape of the SMEG C92DX9 90 cm Dual Fuel Range Cooker - Stainless Steel LPG Convertible carving without knowing the name and characteristics of the carving itself.Lack of understanding in traditional Balinese carving is caused by the difficulty of finding sources of materials to study traditional Balinese carvings.A traditional Kekarangan Balinese carving classification system can help Balinese people to identify Vitamin B classes of traditional Balinese carving.

This study used the Gabor CNN method.The Multi Orientation Gabor Filter is used in feature extraction and image augmentation, coupled with the Convolutional Neural Network method for image classification.The usage of the Gabor CNN method can produce the highest image classification accuracy of 89%.