Improved Principal Component Analysis for Face Image Recognition

Abstract:

Principal cmponent analysis is applied to face recognition problem to shorten image processing time in this paper. Based on the analysis of basic principal cmponent analysis algorithm, a new strategy which can improve algorithm efficiency by reducing the dimension of face images to be processed is introduced to face recognition problem, and the detailed computer implementation procedure is given. Numerical experiments have been performed to evaluate the efficiency of improved principal cmponent analysis algorithm for the problem of face recognition.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 3734-3737
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.3734
• Online since: August 2013
• Authors: Jina De Zhang, Chen Rong Hang, Jin Bao Xu, Hang Chen
• Keywords: Face Recognition, Principal Component Analysis (PCA)

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