Abstract

Being a successful application in the field of image analysis, face recognition is seeking most of the attention during the past few years. Automatic face identification of characters has drawn significant research interests and led to many interesting the applications. It is a difficult problem because of the huge variation in the appearance of each character and the weakness and ambiguity of available annotation. Although these existing methods demonstrate promising results in the clean environment and the performances are limited in the complex scenarios due to the noises can be generated during the face tracking and face clustering process. Face Name Graph Matching for Character Identification is used to detect the faces of the characters.

Keywords: - Automatic Face Detection, Face Recognition, Principal Component Analysis, ECGM.