Purifying Weakly Labeled Web Facial Images Using Auto Face Annotation Technique

In this paper we are study of face annotation which are noisy images get on internet. The contest part of face annotation is management of most similar facial images and their noisy images. To overcome this problem, we suggest an unsupervised label refinement (ULR) technic for refining the labels of web facial images using machine learning techniques. Auto face annotation can be useful in various real world applications like Facebook. The main goal of face image annotation process is automatic allot associate label to images.