SISTEM KLASIFIKASI CITRA DEWASA BERBASIS METODE DETEKSI WAJAH VIOLA-JONES

• المؤلفون الرئيسيون: , MUHAMAD DWISNANTO PUTRO, , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2012
• الموضوعات: ETD
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/99477/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55971

This research consists of a classification system to determine the adult and benign image. Adult image in this research was defined as image that is perceived as pornographic by Indonesian people. The method in this research combines face detection and HS skin color detection on the image. Face detection is done by using the Viola-Jones method. After getting the results of face detection, skin detection process is performed on the image. Hence, based on the results of face and skin detections, a set of features is extracted and inserted into the classifier. Finally, the classifier determine wether an image is benign or adult. The classification used in determining adult or benign image will be based on the percentage of face area in the image, the position of face in the image and the percentage of the skin color in the image. For each feature, the threshold value is defined in this research. The results of the classifier is wether an input image is benign or adult images. From 30 sample images, the classification process classifies 5 pieces of images as benign images and 25 images as adult images. False positive rate are 2 images and false negative rate is 1 image with the accuracy of 90%. Another result obtained is that the face detection and skin detection methods play a role in this research is elements in determining the classification for adult images and benign images.