Face identification by deformation measure.

This paper studies the problem of face identification for the particular application of an automatic cash machine withdrawal: the problem is to decide if a person identifying himself by a secret code is the same person registered in the data base. The identification process consists of three main stages. The localization of salient features is obtained by using morphological operators and spatio-temporal infor- mation. The location of these features are used to achieve a normalization of the face image with regard to the cor- responding face in the data base. Facial features, such as eyes, mouth and nose, are extracted by an active contour model which is able to incorporate information about the global shape of each object. Finally the identification is achieved by face warping including a deformation measure.