Heterogeneous Techniques used in Face Recognition: A Survey

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ID: 13888
2015
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Abstract
Face Recognition has become one of the important areas of research in computer vision. Human Communication is a combination of both verbal and non-verbal. For interaction in the society, face serve as the primary canvas used to express distinct emotions non-verbally. The face of one person provides the most important natural means of communication. In this paper, we will discuss the various works done in the area of face recognition where focus is on intelligent approaches like PCA, LDA, DFLD, SVD, GA etc. In the current trend, combination of these existing techniques are being taken into consideration and are discussed in this paper. Keywords: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Genetic Algorithm (GA), Direct Fractional LDA (DFLD)
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devi2015heterogeneousadbu Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hidangmayum Saxena Devi;Dalton Meitei Thounaojam;
Journal adbu journal of engineering technology
Year 2015
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