Abstract
This paper discusses the advantages of score-level fusion between pattern and minutiae based fingerprint verification algorithms in various operational scenarios. The different scenarios considered are sensor interoperability, environmental conditions and low quality enrollments. These are commonly encountered in real-life deployments of fingerprint-based biometric systems, specifically for large-scale distributed systems and physical access control. Moreover, the approach for jointly utilizing the conceptually different pattern and minutiae algorithms is based on various well-known scorelevel fusion techniques with single finger presentations. In contrast to previous studies on multi-matcher score-level fusion for fingerprint verification, where only moderate performance improvement were reported, the results presented here show significant performance gains. The two main contributing factors to these findings are that the two algorithms are conceptually different and the effects of the different operational scenarios. For the latter, improvement in accuracy due to fusion is even more significant in non-ideal and challenging operating conditions.
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References
Ulery, B., Hicklin, A., Watson, C., Fellner, W., Hallinan, P.: Studies of Biometric Fusion. NIST Report (NISTIR 7346) (September 2006)
Nandakumar, K., Chen, Y., Dass, S.C., Jain, A.K.: Likelihood Ratio-Based Biometric Score Fusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(2), 342–347 (2008)
Hube, J.P.: Neyman-Pearson Biometric Score Fusion as an Extension of the Sum Rule. In: Prabhakar, S., Ross, A.A. (eds.) Biometric Technology for Human Identification IV. Proceedings of the SPIE, vol. 6539, p. 65390M (2007)
Poh, N., Bourlai, T., Kittler, J., Allano, L., Alonso-Fernandez, F., Ambekar, O., Baker, J., Dorizzi, B., Fatukasi, O., Fierrez, J., Ganster, H., Ortega-Garcia, J., Maurer, D., Salah, A.A., Scheidat, T., Vielhauer, C.: Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms. IEEE Transactions on Information Forensics and Security 4(4), 849–866 (2009)
Wang, F., Han, J.: Multimodal biometric authentication based on score level fusion using support vector machine. Opto-Electronics Review 17(1), 59–64 (2009)
Nandakumar, K., Chen, Y., Jain, A.K., Dass, S.C.: Quality-based Score Level Fusion in Multibiometric Systems. In: Proc. the 18th International Conference on Pattern Recognition, ICPR (2006)
Raghavendra, R., Rao, A., Hemantha Kumar, G.: A Novel Approach for Multimodal Biometric Score Fusion using Gaussian Mixture Model and Monte Carlo Method. In: International Conference on Advances in Recent Technologies in Communication and Computing (2009)
Ren, C., Yin, Y., Ma, J., Yang, G.: A Novel Method of Score Level Fusion Using Multiple Impressions for Fingerprint Verification. In: Proc. IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA, pp. 5051–5056 (October 2009)
Alonso-Fernandez, F., Veldhuis, R.N.J., Bazen, A.M., Fierrez-Aguilar, J., Ortega-Garcia, J.: Sensor Interoperability and Fusion in Fingerprint Verification: A Case Study using Minutiae- and Ridge-Based Matchers. In: IEEE 9th Int. Conf. Control, Automation, Robotics and Vision (December 2006)
Ross, A., Jain, A.: Biometric Sensor Interoperability: A Case Study In Fingerprints. In: Proc. of International ECCV Workshop on Biometric Authentication (May 2004)
Ross, A., Jain, A., Reisman, J.: A Hybrid Fingerprint Matcher. In: IEEE 16th International Conference on Pattern Recognition (2002)
Fierrez-Aguilar, J., Nanni, L.: Combining Multiple Matchers for Fingerprint Verification: A Case Study in FVC 2004 (2004)
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Quddus, A., Konvalinka, I., Toda, S., Asraf, D. (2011). Fingerprint Pattern and Minutiae Fusion in Various Operational Scenarios. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2011. Lecture Notes in Computer Science, vol 6754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21596-4_11
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DOI: https://doi.org/10.1007/978-3-642-21596-4_11
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