Cirebon Mask Classification using Robust K-Nearest Neighbour | IEEE Conference Publication | IEEE Xplore

Cirebon Mask Classification using Robust K-Nearest Neighbour


Abstract:

Indonesia culture captivates people both domestically and internationally. One of the prominent cultures is Cirebon Mask. There are five types of Cirebon masks: Panji, Sa...Show More

Abstract:

Indonesia culture captivates people both domestically and internationally. One of the prominent cultures is Cirebon Mask. There are five types of Cirebon masks: Panji, Samba, Rumyang, Tumenggung, and Kelana. In this work, we present texture features using first order statistical feature with outlier detection using z-score while K-Nearest Neighbour acted as the classifier. From this experiment our proposed methods increase the accuracy up to 10 % compared to basic method.
Date of Conference: 24-25 July 2019
Date Added to IEEE Xplore: 23 December 2019
ISBN Information:
Conference Location: Yogyakarta, Indonesia

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