Discussion and Conclusion
Pp. 93-95 (3)
Enrico Vezzetti and Federica Marcolin
A thorough organized treatise of similarity measures for face recognition was
presented. All these measures were applied to different typologies of recognition
algorithms, so a direct and synoptic comparison of their performances is not possible.
Nevertheless, many authors used many of these measures for their algorithms and
compared the results, depending on the distances. These kinds of works are precious for
making an evaluation and efficiency comparison of these measures, in order to give an
overview on the way that can be used and employed for face recognition. This is the
aim of the chapter. An analysis of requirements of face recognition algorithms is also
provided for the applications of authentication and identification of suspects.
Principal Component Analysis, Linear Discriminant Analysis,
authentication, identification of suspects.
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy.