Abstract
Previous fingerprint verification systems have achieved good results, but these have been affected by the quality of input data. Fingerprint verification systems that use many fingers or multiple impressions of the same finger are more efficient and reliable than systems that use a single finger. However, multiple impressions give inconvenience to the user and increase the overall verification time. Therefore, we use only two fingers (multi-unit fusion) to improve performance of the fingerprint verification system. We show that performance can be improved by selecting a better quality fingerprint image of two fingerprints. Also, we propose a new quality checking algorithm composed of three stages. Our experimental results show that when the quality checking algorithm is performed by selecting a better quality fingerprint image of two fingerprints, there is a significance improvement in performance of the fingerprint verification system.
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References
Jain, A., Hong, L., Bolle, R.: On-line fingerprint verification. IEEE Trans. Pattern Analysis and Machine Intelligence 19(4), 302–314 (1997)
Lee, H.C., Gaensslen, R.E.: Advances in Fingerprint Technology. Elsevier, New York (1991)
Prabhakar, S., Jain, A.K.: Decision-level Fusion in Fingerprint Verification. Pattern Recognition 35(4), 861–874 (2002)
Hong, L., Jain, A.: Integrating Faces and Fingerprint for Personal Identification. IEEE Trans. Pattern Analysis and Machine Intelligence 20(12), 1295–1307 (1998)
Bigun, E.S., Bigun, J., Duc, B., Fisher, S.: Expert Conciliation for Multimodal Person Authentication Systems using Bayesian Statistics. In: Bigün, J., Borgefors, G., Chollet, G. (eds.) AVBPA 1997. LNCS, vol. 1206, pp. 291–300. Springer, Heidelberg (1997)
Daugman, J.: Biometric decision landscapes. Technical Report No. TR482, University of Cambridge Computer Laboratory (2000)
Kim, S., Lee, D., Kim, J.H.: Algorithm for detection and elimination of false minutiae in fingerprint images. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 235–240. Springer, Heidelberg (2001)
Lee, D., Choi, K., Kim, J.: A Robust Fingerprint Matching Algorithm Using Local Alignment. In: Proceedings. 16th International Conference on Pattern Recognition, August 2002, vol. 3, pp. 803–806 (2002)
Bigun, J., Granlund, G.H.: Optimal Orientation Detection of Linear Symmetry. In: First International Conference on Computer Vision, Washington, DC, June 1987, pp. 433–438. IEEE Computer Society Press, Los Alamitos (1987)
Mardia, K.V., Jupp, P.E.: Directional Statistics. John Wiley Sons Ltd., Chichester (2000)
Indovina, M., Uludag, U., Snelick, R., Mink, A., Jain, A.: Multimodal Biometric Authentication Methods: A COTS Approach. In: Proc. MMUA 2003, Workshop on Multimodal User Authentication, Santa Barbara, CA, Decemeber 2003, pp. 99–106 (2003)
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Lee, K., Park, K.R., Jang, J., Lee, S., Kim, J. (2005). A Study on Multi-unit Fingerprint Verification. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_15
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DOI: https://doi.org/10.1007/11527923_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
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