Implementation of color face recognition using PCA and k-NN classifier
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The topic of color face recognition has received significant attention in recent years and has become one of the important parts of image analysis and pattern recognition research. Furthermore, it is used in various applications related to person identification, video surveillance, access control, smart card, passport, information and social security, etc. In this study, k-Nearest Neighbors (k-NN) is used in order to classify color face images. Firstly, the classification is performed using only k-NN classifier. After that Principal Component Analysis (PCA) and k-NN classifier are used together. In addition, these two methods are implemented for different color space models and k values. Finally, the experiment results are compared with each other. © 2016 IEEE.
Açıklama
IEEE North West Russia Section Young Researchers in Electrical and Electronic Engineering Conference, EIConRusNW 2016 -- 2 February 2016 through 3 February 2016 -- -- 121142
Anahtar Kelimeler
color face recognition, image analysis, k-NN classifier, PCA
Kaynak
Proceedings of the 2016 IEEE North West Russia Section Young Researchers in Electrical and Electronic Engineering Conference, EIConRusNW 2016
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
