Abstract
A feature-level fusion approach is proposed for improving the efficiency of palmprint identification. Multiple Gabor filters are employed to extract the phase information on a palmprint image, which is then merged according to a fusion rule to produce a single feature called the Fusion Code. The similarity of two Fusion Codes is measured by their normalized hamming distance. A database containing 7,752 palmprint images from 386 different palms is used to validate the performance of the proposed method. Empirically comparing our previous non-fusion approach and the proposed method, improvement in verification is ensured
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References
Jain, Bolle, R., Pankanti, S. (eds.): Biometrics: Personal Identification in Networked Society. Kluwer Academic Publishers, Boston (1999)
Zhang, D.: Automated Biometrics – Technologies and Systems. Kluwer Academic Publishers, Boston (2000)
International Biometric Group’s Biometric Market Report (2000-2005), http://www.biometricgroup.com/e/biometric_market_report.htm
Lawton, G.: Biometrics: a new era in security. Computer 31(8), 16–18 (1998)
Pankanti, S., Bolle, R.M., Jain, A.: Biometrics: The future of identification. Computer 33(2), 46–49 (2000)
Zhang, D., Shu, W.: Two novel characteristics in palmprint verification: datum point invariance and line feature matching. Pattern Recognition 32(4), 691–702 (1999)
Duta, N., Jain, A.K., Mardia, K.V.: Matching of Palmprint. Pattern Recognition Letters 23(4), 477–485 (2001)
You, J., Li, W., Zhang, D.: Hierarchical palmprint identification via multiple feature extraction. Pattern Recognition 35(4), 847–859 (2002)
Li, W., Zhang, D., Xu, Z.: Palmprint identification by Fourier Transform. International Journal of Pattern Recognition and Artificial Intelligence 16(4), 417–432 (2002)
Han, C.C., Cheng, H.L., Fan, K.C., Lin, C.L.: Personal authentication using palmprint features. Pattern Recognition 36(2), 371–381 (2003)
Zhang, D., Kong, W.K., You, J., Wong, M.: On-line palmprint identification. IEEE Trans. PAMI 25(9), 1041–1050 (2003)
Lu, G.M., Zhang, D., Wang, K.Q.: Palmprint recognition using eignpalms features. Pattern Recognition Letter 24, 1463–1467 (2003)
Daugman, J.G.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. PAMI 15(11), 1148–1161 (1993)
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© 2004 Springer-Verlag Berlin Heidelberg
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Kong, A.WK., Zhang, D. (2004). Feature-Level Fusion for Effective Palmprint Authentication. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_103
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DOI: https://doi.org/10.1007/978-3-540-25948-0_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
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