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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization ILKOM Jurnal Ilmiah Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Jurnal Tecnoscienza Computer Science and Information Technologies Jurnal Abdidas Indonesian Journal of Data and Science Journal of Applied Data Sciences International Journal of Engineering, Science and Information Technology Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT) Jurnal Minfo Polgan (JMP) Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Inovasi Teknologi dan Edukasi Teknik
Lokapitasari Belluano, Poetri Lestari
Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia
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Journal : JOIV : International Journal on Informatics Visualization

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Max Feature Map CNN with Support Vector Guided Softmax for Face Recognition Herdianti Darwis; Zahrizhal Ali; Yulita Salim; Poetri Lestari Lokapitasari Belluano
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.1751

Abstract

Face recognition has made significant progress because of advances in deep convolutional neural networks (CNNs) in addressing face verification in large amounts of data variation. When image data comes from different sources and devices, the identifiability of other classes and the presence of profile face data can lead to inaccurate and ambiguous classification because other classes lack discriminatory power. Furthermore, using a complex architecture with many deep convolutional layers can become very slow in the training process due to a huge amount of Random Access Memory (RAM) usage during the reverse pass of backpropagation. In this paper, we design a light CNN architecture that addresses these challenges. Specifically, we implemented Max-feature-map (MFM) into each convolutional layer to improve the accuracy and efficiency of the CNN. The strength of the support vector-guided SoftMax (SV-SoftMax) is also used in the proposed method to emphasize misclassified points and adaptively guide feature learning. Experimental results show that the 9-Layers CNN with MFM layer and SV-SoftMax outperform VGG-19 with 96.22% validation accuracy and the second rank below FaceNet tested on the same dataset with fewer parameters. Moreover, the model performed well on data that is obtained from various capture devices such as webcam, CCTVs, phone cameras, and DSLR cameras. The implications of this research could extend to scenarios requiring face recognition technology implementation with light size, such as surveillance and authentication systems
Co-Authors A Ulfah Tenripada Syahar A. Ulfa Tenripada A.R Tuasamu, Fatimah Abd. Rasyid Syamsuri Abdul Muftia Alfian Putra Ramadhan Alriadi Tri Putra Amaliah Faradibah Ambarwati, Nisrina Dwi AR, Fatimah Ashar, Muhammad Aulia Putri Utami Ayu Aksari Benny Leonard Enrico P Benny Leonard Enrico Panggabean Benny Leonard Enrico Panggabean Darwis, Herdianti Dewi Widyawati Dirgahayu Lantara Erick Irawadi Alwi, Erick Irawadi Fachrul Kurniawan Fahmi Fahmi Faradibah, Amalia Faradibah, Amaliah Farniwati Fattah Fatahillah, Furqon Fatima A.R Tuasamu Furqaan Ismail Gaffar, Andi Widya Mufila Harlinda Lahuddin Hasan, Fadlan Herdianti Darwis Herman Herman Herman Huzain Azis Indrawan, Alfad Indrawati Indrawati Indrawati Indrawati Irawati Irawati Ismaldyka, Ismaldyka Kasmira Kasmira Kasmira, Kasmira Khatimah, Nur Khusnul Kurubacak, Gulsun La Saiman lilis nurhayati Lutfi Budi Ilmawan, Lutfi Budi Manga, Abdul Rachman Mardiyyah Hasnawi Melisa Melisa Mubarak, Syahrul Muh Fachrul Islam Muh Syawal Muh Taufik Rifaat Muh. Aliyazid Mude Muh. Iqbal Muhammad Akbar Muhammad Fadhiel Muhammad Farid Zulfadly MUHAMMAD ILHAM Muhammad Kamil Muhammad Razaq Fajar Nazirah, Aliyah Nia Kurniati Nia Kurniati Noor Fauzi, Muh Hilmy Nur Chaerunnisa Nur wahidah Panggabean, Benny Leonard Enrico Pradinata, Awal Purnawansyah Purnawansyah Rachman Manga, Abdul Rahma, Reyna Aprilia Rahmadani Rahmadani Rahmadani Rahmadani Rahmat Ramadhan Ramdan Satra Rizal Rahmadani Saiman, La Sainlia, Ahmad Fauzan Siska Anraeni Sitti Rahmah Jabir Sitti Ramlah St Radiatul Adawiah Abidin Syaad Patmanthara Syafie, Lukman Tasrif Hasanuddin Tenripada, A. Ulfah Tuasamu, Fatima A.R Utami, Aulia Putri Wa Ode Tanti Widia Ningsih, Widia Widyawati, Dewi Yudha Islami Sulistya Yulita Salim Yundari, Yundari Zahrizhal Ali Zam, Aydil Akbar