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

Off-line signature verification: upper and lower envelope shape analysis using chord moments

Off-line signature verification: upper and lower envelope shape analysis using chord moments

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

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(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.

Signature is an important and useful behavioural biometric which exhibits significant amount of non-linear variability. In this study, the authors concentrate on finding an envelope shape feature known as ‘chord moments’. Central moments such as the variance, skewness and kurtosis along with the first moment (mean) are computed from sets of chord lengths and angles for each envelope reference point. The proposed chord moments adequately quantify the spatial inter-relationship among upper and lower envelope points. The moment-based approach significantly reduces the dimension of highly detailed chord sets and is experimentally found to be robust in handling non-linear variability from signature images. The proposed chord moments coupled with the support vector machine classifier lead to a writer dependent off-line signature verification system that achieves state-of-the-art performance on the noisy Center of Excellence for Document Analysis and Recognition database.

References

    1. 1)
    2. 2)
      • 2. How, W., Ye, X., Wang, K.: ‘A survey of off-line signature verification’. Proc. Int. Conf. Intelligent Mechatronics and Automation, Chengudu, China, August 2004, pp. 536541.
    3. 3)
      • 3. Al-Omari, Y.M., Abdullah, S.N.H.S., Omar, K.: ‘State-of-the-art in offline signature verification system’. Proc. Int. Conf. Pattern Anal. and Intelligent Robotics, Putrajaya, Malaysia, June 2011, pp. 5964.
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • 8. Chen, S., Srihari, S.: ‘Use of exterior contours and shape features in off-line signature verification’. Proc. Int. Conf. on Document Anal. and Recognition, Seoul, Korea, August 2005, pp. 12801284.
    9. 9)
      • 9. Chen, S., Srihari, S.: ‘A new off-line signature verification method based on graph matching’. Proc. of Int. Conf. on Pattern Recognition, Hong Kong, August 2006, pp. 869872.
    10. 10)
      • 10. Kumar, R., Kundu, L., Chanda, B., et al: ‘A writer-independent off-line signature verification system based on signature morphology’. Proc. Int. Conf. on Intelligent Interactive Technologies and Multimedia, Allahabad, India, December 2010, pp. 261265.
    11. 11)
    12. 12)
    13. 13)
      • 13. Zhang, T.P., Fang, B., Xu, B., et al: ‘Signature envelope curvature descriptor for offline signature verification’. Proc. Int. Conf. Wavelet Analysis and Pattern Recognition, Beijing, China, November 2007, pp. 12621266.
    14. 14)
    15. 15)
    16. 16)
      • 16. CEDAR signature database: http://www.cedar.buffalo.edu/NIJ/data/signatures.rar, accessed April 2014.
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • 22. Press, W.H., Teukolsky, S.A., Vetterling, W.T., et al: ‘Statistical description of data’, in ‘Numerical recipes in fortran 77: the art of scientific computing’ (Cambridge University Press, 1992, 2nd edn.), pp. 610615.
    23. 23)
      • 23. Theodoridis, S., Koutroumbas, K.: ‘Pattern recognition’, in: Cowles, L., Harvey, A. (eds) (Academic Press, 2009, 4th edn.).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2014.0024
Loading

Related content

content/journals/10.1049/iet-bmt.2014.0024
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address