Real Time Facial Recognition Using Principal Component Analysis (PCA) And EmguCV

International Symposium on Materials and Electrical Engineering 2017

材料科学;电工学

Sultoni, S.^1 ; Abdullah, A.G.^2

Pendidikan Teknologi Informasi, Universitas Muhammadiyah Sidoarjo, Jl. Mojopahit No 666 B, Sidoarjo, Jawa Timur

61215, Indonesia^1

Departemen Elektro, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi No 229, Jawa Barat, Bandung

40154, Indonesia^2

关键词: Face image recognition;    Facial recognition;    Image processing and computer vision;    Image processing applications;    Method of characteristics;    PCA method;    Simple statistic method;    Training and testing;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/384/1/012079/pdf
DOI  :  10.1088/1757-899X/384/1/012079

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Facial recognition is a challenging research in the field of image processing and computer vision, especially for security systems, weight determiner, and emotional determination based on the face image recognition. Some of the methods that can be used in facial recognition are holistic, feature extraction, hybrids and intelligent systems. This paper used the method of characteristic extraction that used Principal Component Analysis (PCA) which was built using EmguCV application. The purpose of this research is to assess the accuracy of Principal Component Analysis (PCA) method when combined with Emgu CV in face recognition in real time. Based on the results of training and testing, it can be concluded that the PCA method combined with EmguCV has better accuracy, if the data used has the same characteristics, PCA and EmguCV can also be developed to make image processing application especially for security system, because it applies simple statistic method and easy- applied algorithm.