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International Conference on Speech and Computer

SPECOM 2016: Speech and Computer pp 515–522Cite as

Online Biometric Identification with Face Analysis in Web Applications

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

Abstract

Internet security is an important issue that concerns everyone who uses it without exception. Over the past few years, there has been a significant improvement in internet security but little attention has been paid to protect careless users. This paper introduces a user-based security application that could replace the classic login frame on websites in order to offer an extra security level that allows a biometric identification of the user that prevents unauthorized login to his personal page.

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References

  1. http://passwordresearch.com/stats/study64.html

  2. Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face recognition by independent component analysis. IEEE Trans. Neural Netw. 13(6), 1450–1464 (2002)

    Article  Google Scholar 

  3. Fan, X., Verma, B.: A comparative experimental analysis of separate and combined facial features for ga-ann based technique. In: Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2005), pp. 279–284. IEEE (2005)

    Google Scholar 

  4. Jensen, O.H.: Implementing the Viola-Jones face detection algorithm. Ph.D. thesis, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark (2008)

    Google Scholar 

  5. Križaj, J., Štruc, V., Pavešić, N.: Adaptation of SIFT features for robust face recognition. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010. LNCS, vol. 6111, pp. 394–404. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Lu, H., Plataniotis, K.N., Venetsanopoulos, A.N.: Multilinear principal component analysis of tensor objects for recognition. In: 18th International Conference on Pattern Recognition (ICPR 2006), vol. 2, pp. 776–779. IEEE (2006)

    Google Scholar 

  7. Abdullah, M., Wazzan, M., Bo-saeed, S.: Optimizing face recognition using PCA. Int. J. Artif. Intell. Appl. (IJAIA), 3(2) (2012)

    Google Scholar 

  8. Martínez, A.M., Kak, A.C.: PCA versus LDA. IEEE Trans. Pattern Anal. Mach. Intell. 23(2), 228–233 (2001)

    Article  Google Scholar 

  9. Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cogn. Neurosc. 3(1), 71–86 (1991)

    Article  Google Scholar 

  10. Upadhayay, R., Yadav, R.K.: Kernel principle component analysis in face recognition system: a survey. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 3(6), 348–353 (2013)

    Google Scholar 

  11. Viola, P., Jones, M.: Robust real-time object detection. Int. J. Comput. Vis. 4, 34–47 (2001)

    Google Scholar 

  12. Yang, M.H., Ahuja, N., Kriegman, D.: Face recognition using kernel eigenfaces. In: 2000 Proceedings International Conference on Image Processing, vol. 1, pp. 37–40. IEEE (2000)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, University of Patras, Rio, Patras, Greece

    Gerasimos Arvanitis, Konstantinos Moustakas & Nikos Fakotakis

Authors
  1. Gerasimos Arvanitis
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  2. Konstantinos Moustakas
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  3. Nikos Fakotakis
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Corresponding author

Correspondence to Gerasimos Arvanitis .

Editor information

Editors and Affiliations

  1. SPIIRAS , Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University , Moscow, Russia

    Rodmonga Potapova

  3. Budapest University of Technology and Economics, Budapest, Hungary

    Géza Németh

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© 2016 Springer International Publishing Switzerland

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Arvanitis, G., Moustakas, K., Fakotakis, N. (2016). Online Biometric Identification with Face Analysis in Web Applications. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_62

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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