2026-09-20T08:00:25Zhttps://iris.unica.it/oai/requestoai:iris.unica.it:11584/2668932022-10-15T06:45:58Zcom_11584_207615com_11584_111066col_11584_265854
Design of a Multi-biometric Platform, based on physical traits and physiological measures: Face, Iris, Ear, ECG and EEG
BARRA, SILVIO
Customization
ECG
EEG
Ear
Face
Iris
biometric
multimodal platform
Settore INF/01 - Informatica
Security and safety is one the main concerns both for governments and for private
companies in the last years so raising growing interests and investments in
the area of biometric recognition and video surveillance, especially after the sad
happenings of September 2001. Outlays assessments of the U.S. government for
the years 2001-2005 estimate that the homeland security spending climbed from
$56.0 billions of dollars in 2001 to almost $100 billion of 2005. In this lapse of
time, new pattern recognition techniques have been developed and, even more
important, new biometric traits have been investigated and refined; besides
the well-known physical and behavioral characteristics, also physiological measures
have been studied, so providing more features to enhance discrimination
capabilities of individuals. This dissertation proposes the design of a multimodal
biometric platform, FAIRY, based on the following biometric traits: ear,
face, iris EEG and ECG signals. In the thesis the modular architecture of the
platform has been presented, together with the results obtained for the solution
to the recognition problems related to the different biometrics and their possible
fusion. Finally, an analysis of the pattern recognition issues concerning the
area of videosurveillance has been discussed.
2016-03-07
info:eu-repo/semantics/doctoralThesis
http://hdl.handle.net/11584/266893
eng
numberofpages:125
info:eu-repo/semantics/openAccess
Università degli Studi di Cagliari
license:Non specificato