Research on Face Recognition Based on PCA
Studies the face recognition,applyies the images training algorithm based on principal component analysis to face recognition and uses the nearest neighbor classifier such as Euclidean distance to category all the training face images,and then designes a set of face recognition attendance system based on PCA,which have applied to the practice of the company's attendance.The actual result indicates that using the PCA algorithm for face recognition can make the recognition rate achieve more than 90%.