The document summarizes a novel approach for multisensor biometric fusion of face and palmprint images using wavelet decomposition and SIFT features for person authentication. Face and palmprint images are decomposed using wavelets and fused to create an enhanced fused image. SIFT features are extracted from the fused image and used for matching based on a monotonic-decreasing graph approach. Experimental results on a 150 person database show the proposed fusion method achieves 98.19% accuracy, outperforming individual face and palmprint recognition.
1. “ Multisensor Biometric Evidence Fusion for Person Authentication using Wavelet Decomposition and Monotonic-Decreasing Graph” *D. R. Kisku, J. K. Sing, M. Tistarelli, P. Gupta *Department of Computer Science and Engineering, Dr. B. C. Roy Engineering College, Durgapur – 713206, India [email_address]
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13. Contd… ROC curves (in ‘stairs’ form) for the different methods are shown.
![“ Multisensor Biometric Evidence Fusion for Person Authentication using Wavelet Decomposition and Monotonic-Decreasing Graph” *D. R. Kisku, J. K. Sing, M. Tistarelli, P. Gupta *Department of Computer Science and Engineering, Dr. B. C. Roy Engineering College, Durgapur – 713206, India [email_address]](https://image.slidesharecdn.com/kiskusingtistaguptaicapr2009-090908211329-phpapp01/85/IEEE-ICAPR-2009-1-320.jpg)
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