MATLAB Implementation of Face Identification using Principal Component Analysis

被引：0
|
作者：
Mahmood, Nasrul Humaimi [1 ]
Ariffin, Ismail [1 ]
Omar, Camallil [1 ]
Jaafar, Nur Sufiah [1 ]
机构：
[1] Univ Teknol Malaysia, Biomed Instrumentat & Elect Res Grp, Dept Elect, Fac Elect Engn, Utm Johor Bahru 81310, Malaysia
来源：
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词：
PCA algorithm; Face Identification; Webcam; Biometrics; MATLAB;
D O I：
10.4028/www.scientific.net/AMR.433-440.5402
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Face is the greatest superior biometric as the face has a complex, multidimensional and meaningful identity compared from one person to another. Face identification is executed by comparing the characteristics of the face (test image) with those of known individual images in the database. This paper describes the used of the Principal Component Analysis (PCA) algorithm for human face identification based on webcam image. The MATLAB is used as a tool for image processing and analysis. The important decision to identify the person is by the minimum distance of the face images and known face images in face space. From the results, it can be concluded that the work has successfully implemented the PCA algorithm for human face identification through a webcam.
引用
收藏
页码：5402 / 5408
页数：7
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