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Multisensor biometric evidence fusion for person authentication using wavelet decomposition and monotonic-decreasing graph

Kisku, Dakshina Ranjan and Sing, Kanta Sing and Tistarelli, Massimo and Gupta, Phalguni (2009) Multisensor biometric evidence fusion for person authentication using wavelet decomposition and monotonic-decreasing graph. In: Advances in Pattern Recognition: 2009 ICAPR '09: Proceedings of the 7th International Conference, 4-6 February 2009, Kolkata, India. Piscataway, IEEE. p. 205-208. ISBN 978-1-4244-3335-3. Conference or Workshop Item.

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DOI: 10.1109/ICAPR.2009.15

Abstract

This paper presents a novel biometric sensor generated evidence fusion of face and palmprint images using wavelet decomposition for personnel identity verification. The approach of biometric image fusion at sensor level refers to a process that fuses multispectral images captured at different resolutions and by different biometric sensors to acquire richer and complementary information to produce a new fused image in spatially enhanced form. When the fused image is ready for further processing, SIFT operator are then used for feature extraction and the recognition is performed by adjustable structural graph matching between a pair of fused images by searching corresponding points using recursive descent tree traversal approach. The experimental result shows the efficacy of the proposed method with 98.19% accuracy, outperforms other methods when it is compared with uni-modal face and palmprint authentication results with recognition rates 89.04% and 92.17%, respectively and when all the methods are processed in the same feature space.

Item Type:Conference or Workshop Item (Paper)
ID Code:2617
Status:Published
Uncontrolled Keywords:SIFT operator, face biometric, image fusion, multimodal biometric fusion, palmprint biometric, sensor fusion, structural graph, wavelet decomposition
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Divisions:001 Università di Sassari > 01 Dipartimenti > Architettura e pianificazione
001 Università di Sassari > 02 Centri > Computer Vision Laboratory
Publisher:IEEE
Copyright Holders:© 2009 IEEE
ISBN:978-1-4244-3335-3
Publisher Policy:Depositato in conformità con la politica di copyright dell'Editore
Deposited On:18 Aug 2009 10:08

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