Abstract
Biometric becomes nowadays, a strong tool to authenticate persons, because they are able to prove a true identity. Research shows that different applications are used in verification. Fingerprints, Face, Iris recognition are some examples. But most of them safer from FRR and FAR, so for those reasons more researches and new algorithms are needed to be developed and to solve this problem. This paper presents a system with an algorithm, uses a pair of biometrics print (fingerprint and Iris), used to gain access to personal resources, it is based on a statistical approach. Features are extracted and used to authenticate persons. Paper shows that the developed system solves the mentioned problem and accelerates matching process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Elmadani, A.B., Prakash, V., Ramli, A.R.: Smart Card and Secure Coprocessor Enhance Internet Security. Suranaree Journal of Science and Technology 9(2) (2002)
Elmadani, A.B., Prakash, V., Ali, B.M., Ramli, A.R., Jumar, K.: New Technique in Fingerprint Matching based on An-AVL tree Search Algorithm. Journal of Technology and commerce Brunei Darussalam (2006)
Elmadani, A.B., Prakash, V., Ali, B.M., Ramli, A.R., Jumari, K.: Fingerprint Access Control with Anti-spoofing Protection. Brunei Darussalam Journal of Technology and Commerce (2005)
Pankanti, S., Prabhakar, S., Jain, A.K.: On the individuality of fingerprints. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(8), 1010–1025 (2002)
Wang, S.D., Lee, C.J.: Fingerprint recognition using directional micro pattern histo-grams and LVQ networks. In: Proceedings of International Conference on Information Intelligence and Systems, USA, pp. 300–303 (1999)
Zorski, W., Foxon, B., Blackledge, J., Turner, M.: Application of the Hough Transform: Iris and Fingerprint Identification. In: Horwood, E. (ed.) Third IMA Conference in Image Processing Mathematical Methods, Algorithms and Applications Processing III, pp. 69–81 (2001)
Toft, P.: The Radon Transform - Theory and Implementation, Ph.D. thesis. Department of Mathematical Modelling, Technical University of Denmark (June 1996)
Ganeshan, B., Theckedath, D., Young, R.C.D., Chatwin, C.R.: Biometric iris recognition system using a fast and robust iris localization and alignment procedure. Optics and Lasers in Engineering 44, 1–24 (2006)
Roy, K., Bhattacharya, P.: Iris Recognition: A Machine Learning Approach. VDM Verlag Saarbrücken, Germany (2008)
Hollingsworth, K., Peters, T., Bowyer, K.W., Flynn, P.J.: Iris Recognition Using Signal-Level Fusion of Frames From Video. IEEE Transactions on Information Forensics and Security 4(4), 837–848 (2009)
Massimo, T., Stan, L., Chellappa, Z.: Handbook of Remote Biometrics for Surveillance and Security Series. In: Rama (ed.) Advances in Pattern Recognition (2009)
Yingzi, D., Lves, R.W., Etter, D.M., Welch, T.B.: Biometric signal processing laboratory. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP apos;04), vol. 5(1), pp. 1025–1028 (2004)
Ma, L., Wang, Y., Tan, T.: Iris recognition using circular symmetric filters. In: Proceedings of 16th International Conference on Pattern Recognition, vol. 2, pp. 414–417 (2002)
Lipinski, B.: Iris Recognition: Detecting the Iris. Journal of Medical and Biological Sciences, Scientific Journal International (2004)
Baig, A., Bouridane, A., Kurugollu, F., Qu, G.: Fingerprint-Iris Fusion based Identification System using a single Hamming Distance Matcher. International Journal of Bio-Science and Bio-Technology 1(1) (2009)
Hong, L., Jain, A., Pankanti, S.: Can Multibiometrics Improve Performance? In: Proceedings AutoID’99, Summit, NJ, pp. 59–64 (1999)
Jain, A.K., Hong, L., Kulkarni, Y.: A Multimodal Biometric System using Fingerprint, Face and Speech. In: 2nd International Conference on Audio and Video-Based Biometric Person Authentication, Washington, D.C., pp. 182–187 (1999)
Wang, Y., Tan, T., Jain, A.K.: Combining Face and Iris Biometrics for Identity Verification. Springer, Heidelberg (2003)
Lumini, A., Nanni, L.: When Fingerprints are Combined with Iris – Case Study: FVC 2004 and CASIA. International Journal of Network Security 4(1), 27–34 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Elmadani, A.B. (2010). Human Authentication Using FingerIris Algorithm Based on Statistical Approach. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-14292-5_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14291-8
Online ISBN: 978-3-642-14292-5
eBook Packages: Computer ScienceComputer Science (R0)