
MIXTURE FEATURE EXTRACTION BASED ON LOCAL BINARY PATTERN AND GREY-LEVEL CO-OCCURRENCE MATRIX TECHNIQUES FOR MOUTH EXPRESSION RECOGNITION
Author(s) -
Ricardus Anggi Pramunendar,
Dwi Puji Prabowo,
Yuslena Sari
Publication year - 2022
Publication title -
jtiulm (jurnal teknologi informasi universitas lambung mangkurat)
Language(s) - English
Resource type - Journals
eISSN - 2528-2514
pISSN - 2527-5399
DOI - 10.20527/jtiulm.v7i2.145
Subject(s) - local binary patterns , pattern recognition (psychology) , artificial intelligence , facial expression , feature extraction , support vector machine , computer science , feature (linguistics) , facial expression recognition , expression (computer science) , matrix (chemical analysis) , segmentation , image (mathematics) , facial recognition system , computer vision , histogram , linguistics , philosophy , materials science , composite material , programming language