A novel hybrid approach based on principal component analysis and tolerance rough similarity for face identification

Face identification plays one of the most important roles in biometrics to recognize a person. However, face identification is very difficult because of variations in size, orientations, different illuminations, and face expressions. In this paper, a hybrid approach is proposed based on principal co...

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Veröffentlicht in:	Neural computing & applications 2018-04, Vol.29 (8), p.289-299
Hauptverfasser:	Lavanya, B, H. Hannah Inbarani
Format:	Artikel
Sprache:	eng
Schlagworte:	Back propagation networks Biometric recognition systems Biometrics Eigenvectors Euclidean geometry Feature extraction Identification Multilayer perceptrons Principal components analysis Similarity Support vector machines
Online-Zugang:	Volltext
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