Open AccessNormalization of Facial Occlusion in Face Recognition
Author(s) -
Tashev Komil Akhmatovich,
Khudoykulov Zarif Turakulovich,
Islomov Shahboz Zokir ugli,
Salimova Husniya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1754.0981119
Subject(s) - normalization (sociology) , occlusion , facial recognition system , artificial intelligence , principal component analysis , computer science , pattern recognition (psychology) , computer vision , face (sociological concept) , three dimensional face recognition , face detection , medicine , social science , sociology , anthropology
Face recognition accuracy is determined by face detection results. Detected faces will be in view of clear and occlusion faces. If detected face has occlusion than recognition accuracy is reduced. This research is directed to increase recognition rate when detected occlusion face. In this paper is proposed normalization occlusion faces by Principal component analysis algorithm. After applying normalization method in occlusion faces false reject error rate is decreased.