Universiti Teknologi Malaysia Institutional Repository

Matlab implementation of face identification using principal component analysis

Mahmood, Nasrul Humaimi and Ariffin, Ismail and Omar, Camallil and Jaafar, Nur Sufiah (2012) Matlab implementation of face identification using principal component analysis. Advanced Materials Research, 433-44 . pp. 5402-5408. ISSN 1022-6680

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Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMR.4...

Abstract

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.

Item Type:Article
Uncontrolled Keywords:MATLAB, PCA algorithm, webcam
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:47183
Deposited By: Narimah Nawil
Deposited On:22 Jun 2015 05:56
Last Modified:05 Mar 2019 01:51

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