A Taxonomy for Physics Based Synthetic Biometric Models

Autor:	Nicholas M. Orlans, D.J. Buettner
Rok vydání:	2006
Předmět:	Computer graphics Biometrics Computer science Biometrics access control Taxonomy (general) Data_MISCELLANEOUS Pattern recognition (psychology) Data mining Physics based computer.software_genre computer Data science
Zdroj:	AutoID
DOI:	10.1109/autoid.2005.8
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::13854f52fc340d8a0bed9d6736016dd3 https://doi.org/10.1109/autoid.2005.8 Zobrazit plný text záznamu