The Research of Face Recognition Based on PCA and K-Nearest Neighbor

Principle Component Analysis (PCA) technique is of vital importance and is an efficient method in extracting features in face recognition. Generally speaking, the image always needs to be transformed into ID vector in PCA. This paper mainly researches the method of face recognition based on PCA and K-Nearest Neighbor. A comparison of Nearest Neighbor and K-Nearest Neighbor are given in the last section.