DETEKSI KHIMAR WANITA PADA CITRA WAJAH MENGGUNAKAN METODE GAUSSIAN MIXTURE MODEL

Abstract

Indonesia, is a predominantly Islamic nation. In Islam has been set especially for Muslim women there is an obligation to cover aurat. Closing the nakedness can be done by wearing a hijab to avoid sin and all possible ugliness. Many cases of mistreatment of women who indulge in nurse, so this will affect the psychological of men. The face is one of the aurat that must be covered. Closing the face area can be done using a veil or khimar. But in reality there are still many Muslim women who have not wearing khimar, even found many pictures that indulgence aurat. Detection of aurat based on the face image is a new breakthrough in efforts to glorify Muslim women. In this study developed a method to detect women's aurat by extracting the skin features then check the difference of skin with khimar. The methods used are Viola-Jones face detection, GMM (Gaussian Mixture Model), and Roberts edge detection. The results of the aurat detection showed an accuracy of 95% based on a frontal facial khimar image .