Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques

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Provided by: International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
Topic: Enterprise Software
Format: PDF
Image processing field is becoming more popular for the security purpose in now-a-days. It has many sub fields and face recognition is one from them. Many techniques have been developed for the face recognition but in this paper, the authors just discussed two prevalent techniques PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) and others in brief. These techniques mostly used in face recognition. PCA based on the eigenfaces or they can say reduce dimension by using covariance matrix and LDA based on linear discriminant or scatter matrix.
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