Face Recognition using Principal Component Analysis with DCT
Kiran D. Kadam · 2014
Abstract—Face recognition (FR) is a challenging issue due to variation in expression, pose, illumination and aging etc. In this paper hybrid combination of principal component analysis (PCA) and discrete cosine transform (DCT) is used is used to represent accurate face recognition system. Face recognition system used for many applications such as security access to video indexing by content. This method is useful to increase the efficiency by extracting meaningful features and also increase in recognition rate of system which is easy to implement. This paper proposes a methodology for improving the recognition rate of face recognition system. Standard databases such as FACES 94 and ORL are used to test the experimental results which proves that proposed system achieves more accurate face recognition as compared to individual method.