Abstract
E-infrastructures must support the development of heterogeneous applications for workstation network, for mobile and portable systems and devices. In this context and relating to all collaborative and pervasive computational technology a very important role is played by security and authentication systems, which represent the first step of the whole process. Biometric authentication systems represent a valid alternative to conventional authentication systems providing robust procedures for user authentication. On the other hand, Internet of Things involves a heterogeneous set of interacting devices to enable innovative global and local applications and services for users. In this chapter fingerprint and iris based unimodal and multimodal authentication systems will be described, analyzed and compared. Finally, a prototyped embedded multimodal biometric sensor will be outlined. Software and hardware prototypes have been checked against common and widely used databases.
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References
Karume, S.M., Omieno, K.K.: Synergizing E-infrastructures Initiatives to Foster e-Research in HigherEducation Institutions in Africa. Journal of Emerging Trends in Computing and Information Sciences 2(11), 632–640 (2011) ISSN 2079-8407
Conti, V., Militello, C., Sorbello, F., Vitabile, S.: A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems. IEEE Transactions on Systems, Man, and Cybernetics (SMC) Part C: Applications & Reviews, 384–395, doi:10.1109/TSMCC.2010.2045374, ISSN: 1094-6977
Militello, C., Conti, V., Vitabile, S., Sorbello, F.: An Embedded Iris Recognizer for Portable and Mobile Devices. Special Issue on "Frontiers in Complex, Intelligent and Software Intensive Systems" of International Journal of Computer Systems Science and Engineering 25(2), 33–45 (2010)
Conti, V., Militello, C., Vitabile, S., Sorbello, F.: A Multimodal Technique for an Embedded Fingerprint Recognizer in Mobile Payment Systems. International Journal on Mobile Information Systems 5(2), 105–124 (2009), doi:10.3233/MIS-2009-0076, ISSN: 1574-017X
Vitabile, S., Conti, V., Lentini, G., Sorbello, F.: An Intelligent Sensor for Fingerprint Recognition. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds.) EUC 2005. LNCS, vol. 3824, pp. 27–36. Springer, Heidelberg (2005)
Militello, C., Conti, V., Vitabile, S., Sorbello, F.: Embedded Access Points for Trusted Data and Resources Access in HPC Systems. The Journal of Supercomputing, - Special Issue on High Performance Trusted Computing 55(1), 4–27, doi:DOI: 10.1007s11227-009-0379-1, ISSN (Print): 0920-8542, ISSN (Online): 1573-0484
Ambalakat, P.: Security of Biometric Authentication Systems. 21st Computer Science Seminar. SA1-T1-1. Page 2, http://www.rh.edu/~rhb/cs_seminar_2005/SessionA1/ambalakat.pdf
UK Biometrics Working Group(BWG): Biometrics Security Concerns (2003)
Michener, J.R., Acar, T.: Security domains: key management in large-scale systems. Software IEEE 17(5), 52–58 (2000), doi:10.1109/52.877864, ISSN: 0740-7459
Nielsen, R., Hamilton, B.A.: Observations from the Deployment of a Large Scale PKI. In: 4th Annual PKI R&D Workshop: Multiple Paths to Trust, April 19-21. NIST, Gaithersburg MD (2005)
Jain, A.: On-Line Fingerprint Verification. IEEE Transaction on Pattern Analysis and Machine Intelligence 19(4), 302–314 (1997)
Flom, L., Safir, A.: Iris Recognition System, United States Patent No. 4,641,349, (issued March 2, 1987) U.S. Government Printing Office, Washington DC (1987)
Daugman, J.G.: High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE Transactions on Pattern Analysis and Machine Intelligence 15(11), 1148–1161 (1993)
Field, D.J.: Relations between the statistics of natural images and the response profiles of cortical cells. Journal of the Optical Society of America (1987)
Masek, L.: Recognition of human Iris patterns for biometric identification. Master’s thesis, Univ. Western Australia, Australia (2003), http://www.csse.uwa.edu.au/-pk/studentprojects/libor/ (November 2009)
Thai, R.: Fingerprint Image Enhancement and Minutiae Extraction. PhD Thesis, The University of Western Australia (2003)
Mehtre, B.M.: Fingerprint image analysis for automatic identification. Machine Vision and Applications 6(2), 124–139 (1993)
Zhang, T.Y., Suen, C.Y.: A fast parallel algorithm for thinning digital patterns. Comm. ACM. 27(3), 236–239 (1984)
Conti, V., Militello, C., Vitabile, S., Sorbello, F.: Introducing Pseudo-Singularity Points for Efficient Fingerprints Classification and Recognition. In: 4thInternational Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2010), February 15-8, pp. 368–375. Andrzej FryczModrzewski Cracow College, Krakow (2010), doi:doi:10.1109/CISIS.2010.134
Karu, K., Jain, A.K.: Fingerprint classification. Pattern Recognition 29(3), 389–404 (1996)
Wildes, R.P.: Iris Recognition: An Emerging Biometric Technology. In: Proc. of the IEEE 85(9), 1348–1363 (1997)
Wildes, R.P., Asmuth, J.C., Green, G.L., Hsu, S.C., Kolczynski, R.J., Matey, J.R., McBride, S.E.: A System for Automated Iris Recognition. In: Proc. of the 2nd IEEE Workshop Applications of Computer Vision, Sarasota, FL, December 5–7, pp. 121–128 (1994)
Sanchez-Reillo, R., Sanchez-Avila, C., de Martin-Roche, D.: Iris Recognition for Biometric Identification using Dyadic Wavelet Transform Zero – Crossing. In: 2001 IEEE 35th International Carnahan Conference on Security Technology, London, October 16-19, pp. 272–277 (2001)
Sanchez-Reillo, R., Sanchez-Avila, C.: Iris Recognition with Low Template Size. In: Proc.of International Conference Audio and Video – Based Biometric Person Authentication, pp. 324–329 (2001)
Sanchez-Reillo, R., Sanchez-Avila, C., de Martin-Roche, D.: Iris – Based Biometric Recognition using Dyadic Wavelet Transform. IEEE Aerospace and Electronic Systems Magazine, 3–6 (October 2002)
Canny, J.: A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8, 679–698
PohHoonThian, N., Bengio, S., Korczak, J.: A Multi-Sample Multi-Source Model For Biometric Authentication. In: Proc. of IDIAP (April 2002)
Jain, A.K., Hong, L., Kulkarni, Y.: A Multimodal Biometric System Using Fingerprint, Face and Speech. In: Conference on Audio-Video based Biometric Person Authentication (1999)
Bubeck, M.: MultibiometricAutentication. Term Project CS574, San Diego State University (Spring 2003)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer (2003)
Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recognition Letters 24, 2115–2125 (2003)
Daugman, J.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14(1), 21–30 (2004), doi:10.1109/TCSVT.2003.818350
FVC (2002), http://bias.csr.unibo.it/fvc2002/databases.asp
Australian Society of Ophthalmologists, http://www.aso.asn.au/
Castro, M., Jara, A.J., Skarmeta, A.F.: An analysis of M2M platforms: challenges and opportunities for the Internet of Things. In: 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (2012)
Mehrotra, H., Majhi, B., Gupta, P.: Multi-algorithmic Iris authentication system. Presented at the World Acad. Sci., Eng. Technol., Buenos Aires, Argentina 34 (2008) ISSN 2070-3740
Khalifa, A.B., Amara, N.E.B.: Bimodal biometric verification with different fusion levels. In: Proc. 6th Int. Multi-Conf. Syst., Signals Devices, SSD 2009, pp. 1–6 (2009), doi:10.1109/SSD.2009.4956731.
Besbes, F., Trichili, H., Solaiman, B.: Multimodal biometric system based on fingerprint identification and Iris recognition. In: Proc. 3rd Int. IEEE Conf. Inf. Commun. Technol.: From Theory to Applications (ICTTA 2008), pp. 1–5 (2008), doi:10.1109/ICTTA.2008.4530129
Yang, F., Ma, B.: A new mixed-mode biometrics information fusion based-on fingerprint, hand-geometry and palm-print. In: Proc. 4th Int. IEEE Conf. Image Graph, pp. 689–693 (2007), doi:10.1109/ICIG.2007.39
Bonato, L.V., Molz, R.F., Furtado, J.C., Ferro, M.F., Moraes, F.G. Design of a fingerprint system using a hardware/software environment. In: Proc. of the 2003 ACM/SIGDA 11th International Symposium on Field Programmable Gate Arrays (2003a) ISBN:1-58113-651-X
Schaumont, P., Sakiyama, K., Fan, Y., Hwang, D., Yang, S., Hodjat, A., Lai, B., Verbauwhede, I.: Testing ThumbPod: Softcore bugs are hard to find. In: 8th IEEE International High-Level Design Validation and Test Workshop, pp. 77–82 (2003) ISBN:0-7803-8236-6
Miyazawa, K., Ito, K., Aok, T., Kobayashi, K., Katsumata, A.: An Iris Recognition System Using Phase-Based Image Matching. In: IEEE International Conference on Image Processing, pp. 325–328 (2006)
Yoo, J.H., Ko, J.G., Chung, Y.S., Jung, S.U., Kim, K.H., Moon, K.Y., Chung, K.: Design of Embedded Multimodal Biometric Systems. In: 3rd International IEEE Conference on Signal-Image Technologies and Internet-Based System, pp. 1058–1062 (2007), doi:10.1109/SITIS.2007.130
Daemen, J., Rijmen, V.: AES proposal: Rijndael. From web http://csrc.nist.gov/encryption/aes/round2/AESAlgs/Rijndael/Rijndael.pdf
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Conti, V., Vitabile, S., Agnello, L., Sorbello, F. (2013). Fingerprint and Iris Based Authentication in Inter-cooperative Emerging e-Infrastructures. In: Bessis, N., Xhafa, F., Varvarigou, D., Hill, R., Li, M. (eds) Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence. Studies in Computational Intelligence, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34952-2_18
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DOI: https://doi.org/10.1007/978-3-642-34952-2_18
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