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
Bidimensional Empirical Mode Decomposition for Biometric Analysis and Iris Recognition / Guaragnella, Cataldo; Manni, A; Palumbo, F; Politi, Tiziano. - (2010), pp. 30-33. (Intervento presentato al convegno IEEE International Conference on Computational Intelligence for Measurement Systems and Applications - CIMSA tenutosi a Taranto nel 6-8 settembre 2010) [10.1109/CIMSA.2010.5611761].
Bidimensional Empirical Mode Decomposition for Biometric Analysis and Iris Recognition
GUARAGNELLA, Cataldo;POLITI, Tiziano
2010-01-01
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 techniquesI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
