http://iet.metastore.ingenta.com
1887

Authentic mobile-biometric signature verification system

Authentic mobile-biometric signature verification system

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Biometrics — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This is an undeniable fact that in the coming years a considerable percentage of organisations are drifting toward mobile devices for authentication. Banking sector as an additional offshoot has shifted to mobile devices with their applications for e-banking and mobile-banking, giving rise to an emergent requirement of a foolproof and authentic mobile-biometric system. This study presents an authentic mobile-biometric signature verification system and a comparative analysis of the performance of the proposed system for the two datasets; one using the standard device that is used for capturing biometric signatures and the other one is a mobile database taken from a smart phone for biometric signature authentication. The results presented demonstrate that the proposed system outperforms existing mobile-biometric signature verification systems based on dynamic time warping and hidden Markov model. Moreover, this study presents a comprehensive survey of mobile-biometric systems, different devices and hardware needed to support mobile biometrics along with open issues and challenges faced by the mobile-biometric systems. The experiments presented establish that the performance of mobile devices is low as compared with normal biometric signature capturing devices and the major reason the authors found is the absence of pen-tilt angle information in the mobile device datasets.

References

    1. 1)
      • 1. Bigun, J., Fiérrez-Aguilar, J., Ortega-Garcia, J., et al: ‘Multimodal biometric authentication using quality signals in mobile communications’. Proc. Int. Conf. on in Image Analysis and Processing IEEE Computer Society, September 2003, pp. 212.
    2. 2)
    3. 3)
      • 3. Zareen, F.J., Jabin, S.: ‘A comparative study of the recent trends in biometric signature verification’. 2013 Sixth Int. Conf. on Contemporary Computing (IC3), August 2013, pp. 354358.
    4. 4)
    5. 5)
      • 5. Tao, Q., Veldhuis, R.: ‘Biometric authentication for a mobile personal device’. Proc. Third Annual Int. Conf. on Mobile and Ubiquitous Systems-Workshops IEEE, July 2006, pp. 13.
    6. 6)
      • 6. Marcel, S., McCool, C., Atanasoaei, C., et al: ‘MOBIO: mobile biometric face and speaker authentication’. Idiap, No. EPFL-REPORT-70604, 2010.
    7. 7)
      • 7. Trewin, S., Swart, C., Koved, L., et al: ‘Biometric authentication on a mobile device: a study of user effort, error and task disruption’. Proc. 28th Annual Computer Security Applications Conf., December. ACM, 2012, December 2012, pp. 79168.
    8. 8)
      • 8. Meng, Y., Wong, D.S., Schlegel, R.: ‘Touch gestures based biometric authentication scheme for touchscreen mobile phones’. Information Security and Cryptology, Berlin, Heidelberg, January 2013, pp. 331350.
    9. 9)
      • 9. Sieger, H., Kirschnick, N., Möller, S.: ‘User preferences for biometric authentication methods and graded security on mobile phones’. Proc. Symp. on Usability, Privacy, and Security (SOUPS), 2010.
    10. 10)
      • 10. The global biometrics and mobility report: the convergence of commerce and privacy’. Available at http://www.acuity-mi.com/GBMR_Report.php#sthash.d75xo10B.dpuf, accessed March 2015.
    11. 11)
    12. 12)
      • 12. Ailisto, H.J., Lindholm, M., Mantyjarvi, J., et al: ‘Identifying people from gait pattern with accelerometers’. Proc. SPIE, March 2005, pp. 714.
    13. 13)
    14. 14)
      • 14. Krish, R.P., Fierrez, J., Galbally, J., et al: ‘Dynamic signature verification on smart phones’. Proc. Highlights on Practical Applications of Agents and Multi-Agent Systems, Berlin, Heidelberg, 2013, pp. 213222.
    15. 15)
      • 15. Alonso-Fernandez, F., Fierrez-Aguilar, J., Ortega-Garcia, J.: ‘Sensor interoperability and fusion in signature verification: A case study using tablet pc’, in ‘Advances in biometric person authentication’ (Springer, Berlin, Heidelberg, 2005), pp. 180187.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
      • 19. Kabai, S.: ‘Gyroscope’. Available at http://www.demonstrations.wolfram.com/Gyroscope/, Wolfram Demonstrations Project Published, 28 September 2007.
    20. 20)
      • 20. Goodrich, R.: ‘Accelerometer vs. gyroscope: what's the difference?’, LiveScience Contributor.
    21. 21)
    22. 22)
    23. 23)
      • 23. Mitchell, T.M.: ‘Machine learning. 1997’ (McGraw-Hill, Burr Ridge, IL, 1997), vol. 45.
    24. 24)
      • 24. SVC 2004 database. Available at https://www.aut.bme.hu/Pages/Research/Signature/Resources.
    25. 25)
      • 25. Jabin, S.: ‘Stock market prediction using feed-forward artificial neural network’, Int. J. Comput. Appl. (IJCA), 2014, 99, (9), pp. 48.
    26. 26)
      • 26. Kisi, Ö., Uncuoglu, E.: ‘Comparison of three back-propagation training algorithms for two case studies’, Indian J. Eng. Mater. Sci., 2005, 12, (5), pp. 434442.
    27. 27)
    28. 28)
      • 28. Refaeilzadeh, P., Tang, L., Liu, H.: ‘Cross-validation’, in Liu, L., Özsu, M.T. (Eds.): ‘Encyclopedia of database systems’ (Springer, US, 2009), pp. 532538.
    29. 29)
      • 29. Das, R.: ‘An introduction to biometrics’, Mil. Technol., 2005, 29, (7), pp. 2027.
    30. 30)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2015.0017
Loading

Related content

content/journals/10.1049/iet-bmt.2015.0017
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address