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All Journal JSI: Jurnal Sistem Informasi (E-Journal) ICON-CSE International Journal of New Media Technology Jurnal Elektronika dan Telekomunikasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Sriwijaya Journal of Informatics and Applications Jurnal Generic Jurnal Pendidikan dan Teknologi Indonesia Media Elektrik
Julian Supardi
Universitas Sriwijaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Other

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Journal : ICON-CSE

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Watershed Segmentation for Face Detection Using Artificial Neural Network Julian Supardi
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

In a face image containing objects sometimes face has a color similar to the background color or objects that are nearby. This causes the system to detect any objects in the face in an image. This study wants to try to overcome these problems. The approach used in this study is a dynamic image segmentation. The segmentation will produce region-region are then used as input for the neural network. From the experiments conducted, the method used is good enough to detect faces. The results showed that the approach used in this study can detect all of the data that had trained, while for the data that has not been trained detection rate reached 70%.
Co-Authors Abdiansah, Abdiansah Agus Andreansyah Andreansyah, Agus Arnelawati, Arnelawati Endang Lestari Ruskan Firdaus Firdaus Hadipurnawan Satria Hafiz Mursid Hastie Audytra Muhammad Qurhanul Rizqie Nur, Arviansyah Rachmatullah, M. Naufal Rina Yuniarti Samsuryadi Samsuryadi Saparudin Saparudin Serrano, Philip Alger M. Sihotang, Gabriel Mediose Alfranda Umari, Zainal Vebri Dores Vikki Aria Dinata