Similarity Measures for Face Recognition

Similarity Measures for Face Recognition

Indexed in: EBSCO.

Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). ...
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Discussion and Conclusion

Pp. 93-95 (3)

Enrico Vezzetti and Federica Marcolin

Abstract

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.

Keywords:

Principal Component Analysis, Linear Discriminant Analysis, authentication, identification of suspects.

Affiliation:

Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy.