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A TRAILBLAZING MODUS OPERANDI TO FACE IDENTIFICATION USING A RECKONING ARCHETYPAL PRINCIPAL COMPONENT ANALYSIS

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Author(s): Dr. Nachamai.M

Journal: Indian Journal of Computer Science and Engineering
ISSN 0976-5166

Volume: 2;
Issue: 6;
Start page: 930;
Date: 2011;
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Keywords: Face identification | Canny-edge detector | Eigen image | Principal Component analysis.

ABSTRACT
Face identification is a task of designating human faces with exact names, akin to identifying between similar twins. The work was motivated and is imbibed by physiology and information theory domains. The approach treats the face identification of intrinsically 2-D face images. The system has a very resilient pre-processingmethod. The system then functions by projecting the face images as ‘eigen faces’. The identification is done by principal component analysis (PCA). The implementation is done in Matlab. 213 images from JAFFE database was taken for testing the method. The system has proved good by yielding 87% identification rate.

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Tangokurs Rapperswil-Jona

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