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Robust feature-level multibiometric classification

Rattani, Ajita and Kisku, Dakshina Ranjan and Bicego, Manuele and Tistarelli, Massimo (2006) Robust feature-level multibiometric classification. In: 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference, Sept. 19 2006-Aug. 21 2006, Baltimore (MD), USA. Piscataway, IEEE. p. 1-6. ISBN 978-1-4244-0487-2. Conference or Workshop Item.

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DOI: 10.1109/BCC.2006.4341631


This paper proposes a robust feature level based fusion classifier for face and fingerprint biometrics. The proposed system fuses the two traits at feature extraction level by first making the feature sets compatible for concatenation and then reducing the feature sets to handle the 'problem of Curse of Dimensionality'; finally the concatenated feature vectors are matched. The system is tested on the database of 50 chimeric users with five samples per trait per person. The results are compared with the monomodal ones and with the fusion at matching score level using the most popular sum rule technique. The system reports an accuracy of 97.41% with a FAR and FRR of 1.98% and 3.18% respectively, outperforming single modalities and score-level fusion.

Item Type:Conference or Workshop Item (Paper)
ID Code:2635
Uncontrolled Keywords:Face recognition, feature extraction, fingerprint identification, image classification, image enhancement, image fusion, image matching, image segmentation
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Divisions:001 Università di Sassari > 01 Dipartimenti > Economia, impresa, regolamentazione
001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
Publisher Policy:Depositato in conformità con la politica di copyright dell'Editore
Deposited On:18 Aug 2009 10:08

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