Title :
A taxonomy for physics based synthetic biometric models
Author :
Buettner, Douglas J. ; Orlans, Nicholas M.
Author_Institution :
Aerosp. Corp., Los Angeles, CA, USA
Abstract :
Computer generated "synthetic" biometrics are not widely used within the biometrics community beyond their current use as a research tool. Yet they offer a number of potential advantages that can be developed further to support the science and practical use of biometrics. Physics-based and intermediate-pattern generation of biometrics will require validation of the underlying statistical distributions if they are to be used as more than just a research tool. This paper proposes taxonomy for physics-based models to be used in the creation of synthetic biometrics.
Keywords :
biometrics (access control); computer graphics; pattern recognition; statistical distributions; intermediate-pattern generation; physics taxonomy; statistical distribution; synthetic biometric model; Bioinformatics; Biometrics; Biosensors; Equations; Fingerprint recognition; Mathematical model; Physics; Speech synthesis; Statistical distributions; Taxonomy;
Conference_Titel :
Automatic Identification Advanced Technologies, 2005. Fourth IEEE Workshop on
Print_ISBN :
0-7695-2475-3
DOI :
10.1109/AUTOID.2005.8
