A novel BEMD based Iris recognition system is presented. A multilayer processing for features extraction makes the system efficient. The use of geometrically described details information makes the iris signature very efficient in reducing false positive and false negatives occurrences. Preliminary results of the proposed algorithm seem to indicate BEMD can give high accuracy in iris recognition subsystems in comparison with other techniques. © 2010 IEEE.

Bidimensional empirical mode decomposition for biometric analysis and Iris recognition

Palumbo Filippo;
2010

Abstract

A novel BEMD based Iris recognition system is presented. A multilayer processing for features extraction makes the system efficient. The use of geometrically described details information makes the iris signature very efficient in reducing false positive and false negatives occurrences. Preliminary results of the proposed algorithm seem to indicate BEMD can give high accuracy in iris recognition subsystems in comparison with other techniques. © 2010 IEEE.
2010
Inglese
CIMSA 2010 - IEEE International Conference on Computational Intelligence for Measurement Systems and Applications
30
33
9781424472291
http://www.scopus.com/record/display.url?eid=2-s2.0-78649583276&origin=inward
Bidimensional
Biometrics
Empirical mode decomposition
Features.
Iris recognition
4
none
Guaragnella, Cataldo; Manni, Angelo; Palumbo, Filippo; Politi, Tiziano
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/277159
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