Here an efficient and novel approach was considered as a combination of PCA, LDA and support vector machine. This method consists of three steps: I) dimension reduction using PCA, ii) feature extraction using LDA, iii) classification using SVM. Combination of PCA and LDA is used for improving the capability of LDA when new samples of images are available and SVM is used to reduce misclassification caused by not linearly separable classes. © Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2012.
CITATION STYLE
Raghavendra, U., Mahesh, P. K., & Gudigar, A. (2012). A novel face recognition method using PCA, LDA and support vector machine. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 85, pp. 241–249). https://doi.org/10.1007/978-3-642-27308-7_25
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