Kernel Principle Component Analysis in Face Recognition System: A Survey

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Face recognition is a dynamic topic in the fields of biometrics. Many achievements have been obtained in face recognition. Principal Components Analysis (PCA) and kernel principal components Analysis (KPCA) is an elementary technique broadly used in face feature extraction and recognition. This research paper presents nitty-gritty of KPCA and an up to date review of techniques KPCA. Papers also notify benefits of KPCA over PCA. Finally, it finds that it is appropriate technique in face recognition system. Therefore, it will be a possibility to seek a good system using this approach.
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