Matlab implementation of face identification using principal component analysis
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Trans Tech Publications
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/47183/ http://dx.doi.org/10.4028/www.scientific.net/AMR.433-440.5402 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | 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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