Template Selection by Editing Algorithms: a Case Study in Face Recognition

TitleTemplate Selection by Editing Algorithms: a Case Study in Face Recognition
Publication TypeConference Paper
Year of Publication2008
AuthorsFreni, B, Marcialis, GL, Roli, F
Conference NameJoint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08
Date Published04/12/2008
PublisherSpringer
Conference LocationOrlando (Florida, USA)
Keywordsbio04, biometrics, face, template selection
Abstract

In this paper, we consider the problem of template selection in biometric systems as analogous to the problem, called "editing", of selecting representative prototypes when using the 1-Nearest Neighbour classifier (NN). Four editing algorithms are used and compared by experiments with state-of-the-art template selection algorithms. Experiments are performed on a benchmark face data set. Reported results show pros and cons of editing algorithms for template selection in biometric systems.

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