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All Journal Ethos Sistemasi: Jurnal Sistem Informasi Journal of Information Technology and Computer Science (JOINTECS) Jurnal CoreIT DoubleClick : Journal of Computer and Information Technology JUKI : Jurnal Komputer dan Informatika Jurnal Teknik Informatika (JUTIF) ABSYARA: Jurnal Pengabdian Pada Masyarakat International Journal Education and Computer Studies Dedikasi: Jurnal Pengabdian Kepada Masyarakat Room of Civil Society Development
Muhammad Furqan Rasyid
Universitas Dipa Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Journal : International Journal Education and Computer Studies

 1 
Comparison Of LBPH, Fisherface, and PCA For Facial Expression Recognition of Kindergarten Student Muhammad Furqan Rasyid
International Journal Education and Computer Studies (IJECS) Vol. 2 No. 1 (2022): MAY 2022
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijecs.v2i1.625

Abstract

Face recognition is the biometric personal identification that gaining a lot of attention recently. An increasing need for fast and accurate face expression recognition systems. Facial expression recognition is a system used to identify what expression is displayed by someone. In general, research on facial expression recognition only focuses on adult facial expressions. The introduction of human facial expressions is one of the very fields of research important because it is a blend of feelings and computer applications such as interactions between humans and computers, compressing data, face animation and face image search from a video. This research process recognizes facial expressions for toddlers, precisely for kindergarten students. But before making this research system Comparing three methods namely PCA, Fisherface and LBPH by adopts our new database that contains the face of individuals with a variety of pose and expression. which will be used for facial expression recognition. Fisherface accuracy was obtained at 94%, LBPH 100%, and PCA 48.75%.
Co-Authors Anak Agung Gede Sugianthara Andi Asvin Mahersatillah Suradi Arham Arifin Arham Arifin Arwansyah Arwansyah Asmah Akhriana Erfan Hasmin Harlina, Sitti Heriadi Heriadi Imran Djafar Indra Samsie Komang Aryasa M. Syukri Mustafa Muhammad Rizal Muhammad Rizal Muhammad Rizal Muhammad Sabirin Hadis Muhammad Syukri Mustafa Mushaf Mushaf Mushaf Mushaf Novita Sambo Layuk Nurul Aini Samsu Alam Santi Santi Sitti Aisa SRI WAHYUNINGSIH PIU Sriwahyuningsi Piu Suci Ramadhani Arifin Sunardi Sunardi Wilem Musu Wilem Musu