An Introduction to a Face Recognition System Using PCA, FLDA and Artificial Neural Networks

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Biometrics based Human Computer Interfaces (HCI) are becoming the most popular systems for security and access control. Face recognition is a system that identifies human faces from an image database or from a video frame. The paper presents a literature review on face recognition approaches. It then explains two different algorithms for feature extraction which are principal component analysis and fisher faces algorithm. It also explains how images can be recognized using a Backpropagation algorithm on a Feedforward neural network and minimum euclidean distance.

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