MATLAB Implementation of Face Identification Using Principal Component Analysis

Nasrul Humaimi Mahmood; Ismail Ariffin; Camallil Omar; Nur Sufiah Jaafar

doi:10.4028/www.scientific.net/AMR.433-440.5402

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440MATLAB Implementation of Face Identification Using...

MATLAB Implementation of Face Identification Using Principal Component Analysis

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.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5402-5408

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.5402

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Online since:

January 2012

Authors:

Nasrul Humaimi Mahmood, Ismail Ariffin, Camallil Omar, Nur Sufiah Jaafar

Keywords:

Biometrics, Face Identification, MATLAB, PCA Algorithm, Webcam

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References

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