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.
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.
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