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Approach at solving the problem of Face Recognition using dimensionality reduction algorithms like PCA and LDA

MATLAB 100.00%
face-recognition linear-discriminant-analysis principal-component-analysis fisherfaces eigenfaces

facerecognition's Introduction

FaceRecognition

A face recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. A simple approach can be to do a nearest neighbours from all the faces in the training data. But a facial image can have huge number of features as huge number of pixels and lots of faces in database. So we project the faces in a lower dimensional space, thus we need dimensionality reduction algorithms.

PCA and LDA are two good dimensionality reduction algorithms and provide good results.

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