An extraction of shapes and support vector machine methods for identification of decorative wall “Lamin” motifs of the Dayak Kenyah Pampang tribe
(1) * Haviluddin Haviluddin Mail (Scopus ID: 56596793000; Departement Ilmu Komputer; Universitas Mulawarman, Indonesia)
(2) Masna Wati Mail (Universitas Mulawarman, Indonesia)
(3) Rayner Alfred Mail (Universiti Malaysia Sabah, Malaysia)
(4) Aji Ery Burhandenny Mail (Universitas Mulawarman, Indonesia)
(5) Arief Ardi Pratama Mail (Universitas Mulawarman, Indonesia)
*corresponding author

Abstract


One of the Dayak cultures of Kalimantan Island, Indonesia is a traditional house called Lamin where each wall is decorated according to tribal characteristics. This study aims to identify the image on the Lamin wall using the Support Vector Machine (SVM) method based on the eccentricity and metric parameter values. The data of this study consisted of 50 types of images of the Lamin wall motifs of the Dayak Kenyah tribe consisting of tebengaang, dragon, crocodile, tiger, and arch which were taken from the tourist village, Pampang, Samarinda, East Kalimantan. Based on the experiment, the shape feature extraction method has produced the highest value of the eccentricity parameter which is 0.6979 and the metric parameter is 0.9953 on the image of the arch. Motif identification using the SVM method using linear, Gaussian/RBF, and polynomial kernel parameters has resulted in the highest accuracy with 80% image composition of kernel polynomial at 85%, Gaussian/RBF at 80%, and linear at 78%.


Keywords


Image identification; Wall motifs; Dayak Kenyah; Shape-feature extraction; SVM

   

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https://doi.org/10.29099/ijair.v7i1.475 		      

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