
Face Identification by Deformation Measure
Leroy, Bertrand; Herlin, Isabelle; Cohen, Laurent D. (1996), Face Identification by Deformation Measure, Proceedings of 13th International Conference on Pattern Recognition, Institute of Electrical and Electronics Engineers, p. 633-637. 10.1109/ICPR.1996.547023
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Type
Communication / ConférenceDate
1996Conference title
International Conference on Pattern RecognitionConference date
1996-08Conference city
VienneConference country
AustriaBook title
Proceedings of 13th International Conference on Pattern RecognitionPublisher
Institute of Electrical and Electronics Engineers
ISBN
0-8186-7282-X
Pages
633-637
Publication identifier
Metadata
Show full item recordAuthor(s)
Leroy, BertrandHerlin, Isabelle
Cohen, Laurent D.
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
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 database. The identification process consists of three main stages. The localization of salient features is obtained by using morphological operators and spatio-temporal information. The location of these features are used to achieve a normalization of the face image with regard to the corresponding face in the database. 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.Subjects / Keywords
Facial features; Eyes; Spatial databases; Mouth; Nose; Data mining; Image databases; Geometry; Lightning; Active contoursRelated items
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