Abstract: Face Recognition System should be able to automatically detect a face in images. This involves extraction of its features and then recognizes it, regardless of lighting, ageing, occlusion, expression, illumination and pose. Color local texture method do not easy to recognize the face and if variation in face means do not get proper results. Linear Discriminant Analysis (LDA) is commonly used technique for data classification and dimensionality reduction. LDA approach overcomes the above problem. The objective of LDA is to perform dimensionality reduction while preserving as much of the class discriminatory information as possible. Linear discriminant analysis is also known as Fishers discriminant analysis and it searches for those vectors in the underlying space that best discriminate among classes.
V. Arathy and P. Srinivasa Babu, 2014. Recognition of Face Images Through the Fusion Approach. Asian Journal of Information Technology, 13: 150-155.