Face Duplication Identifier Using Artificial Nerves
DOI:
https://doi.org/10.32877/bt.v6i1.899
Keywords:
Artificial Neural Networks , Backpropagation Algorithm , Color Moment, Form Extraction , Face Duplication Identification , GLCM
Abstract
The facial recognition system develops a basic identity verification system based on the natural features of human faces. The study included duplicate passport identification, which checks each person's facial accuracy through a sample of facial data. The data used in this study were 180 face samples at the training stage and 30 face samples at the testing stage. The face sample taken is a forward-facing face that is not obstructed by an object. Face image recognition in this study combines GLCM method, color moment, shape extraction and backpropagation algorithm. The test process recognition rate is 78.83%.
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References
C. V. Angkoso, “Pengenalan Jender Berbasis Tekstur Pada Citrawajah Foto Digital,” in Prosiding Konferensi Nasional “Inovasi dalam Desain dan Teknologi - IdeaTech, 2011.
Suyanto, Artificial Intelligence. Informatika Bandung, 2014.
R. Nurul, Hidayat, Muh, Arif, “Cara Cepat Untuk Mendeteksi Keberadaan Wajah Pada Citra Yang Mempunyai Background Kompleks Menggunakan Model Warna Ycbcr Dan Hsv,” J. Teknol. Inf. dan Ilmu Komput., vol. 2, pp. 138–142, 2015.
Y. G. H. . dan L. Zaman, “Deteksi Jerawat Otomatis Pada Citra Wajah Studi Kasus Pada Kulit Penduduk Jawa,” in Seminar Nasional “Inovasi dalam Desain dan Teknologi IdeaTech,” 2015.
Y. H. and E. N. H. F.Y. Manik, “Leaf Morphological Feature Extraction of Digital Image Anthocephalus Cadamba,” Telecommun. Comput. Electron. Control, vol. 14, pp. 630–637, 2016.
A. A. A. Q. Nidhal K. El Abbadi, “Detection and Segmentation of Human Face,” Int. J. Adv. Res. Comput. Commun. Eng., vol. 4, 2015.
Husdi, “Pengenalan Ekspresi Wajah Pengguna Elearning Menggunakan Artificial Neural Network Dengan Fitur Ekstraksi Local Binary Pattern Dan Gray Level Co-Occurrence Matrix,” J. Ilm. Ilk., vol. 8, 2016.
M. K. Lourensius Bisma, Dr. Eng. Febriliyan Samopa, S. Kom, M. Kom, Radityo P. Wibowo, S. Kom, “Pembuatan Web Service Sebagai Layanan Pendeteksi Konten Pornografi Pada Citra Digital Dengan Metode Image Zoning,” J. Tek. Pomits, vol. 2, 2013.
Y. Clauditta, Lovidianti, Derry Alamsyah, “Menghitung Jumlah Orang dengan Ekstraksi Fitur Gray Level Co-occurrence Matrix (GLCM),” J. Skripsi STMIK GI MDP Palembang.
D. Putra, Pengolahan Citra Digital. Yogyakarta: Andi Offset, 2010.
J. J. Siang, Jaringan Syaraf Tiruan Dan Pemrogramannya Menggunakan MATLAB. Yogyakarta: Andi Offset, 2019.
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