Improved face recognition method based on segmentation algorithm using SIFT-PCA

This paper provides an example of the face recognition using SIFT-PCA method and impact of Graph Based segmentation algorithm on recognition rate. Principle component analysis (PCA) is a multivariate technique that analyzes a face data in which observation are described by several inter-correlated d...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Kamencay, P., Breznan, M., Jelsovka, D., Zachariasova, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	ESSEX database Face Face recognition Feature extraction Graph Based Segmentation Image segmentation PCA Principal component analysis SIFT Vectors
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