Facial Recognition Based on Facial Features and PCA Feature Extraction

• Main Author: 葉書妤
• Other Authors: Chang-Pei Yi
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/36352386096345683010

碩士 === 國立彰化師範大學 === 資訊工程學系 === 104 === In recent years, research in face recognition technology fully developed, so the use of identifiable facial recognition applications do more extensive, and the current needs of the majority often seen in government, defense units, and home maintenance monitoring. This paper presents a Principal Component Analysis as a feature extraction to face recognition method, through the rear huge dimension of the original image in the presence of dimensionality reduction, extraction as long as a small number of features to be able to represent the human faces of the feature vectors, and through the Support Vector Machines to achieve rapid face recognition results.