Face Recognition Techniques: A Survey on PCA

Provided by: International Journal of Engineering Technology, Management and Applied Sciences (IJETMAS)
Topic: Security
Format: PDF
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking and face recognition and in several practical uses in biometrics, pattern recognition, computer vision, etc. There are predominant approaches to the face recognition problem: geometric (feature based) and photometric (view based). Different algorithms were developed in face recognition: PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis), ICA (Independent Component Analysis), Gabor and local binary pattern.

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