SPECIAL ISSUE: Pattern Recognition and Artificial Intelligence in Biometrics; Edited by S. N. Yanushkevich, D. Hurley and P. S. P. WangNo Access

SVD-BASED SIGNATURE VERIFICATION TECHNIQUE USING DATA GLOVE

NIDAL S. KAMEL

Department of Electrical & Electronic Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Tronoh, Perak, Malaysia

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and

SHOHEL SAYEED

Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia

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https://doi.org/10.1142/S0218001408006387Cited by:12 (Source: Crossref)

Abstract

Data glove is a new dimension in the field of virtual reality environments, initially designed to satisfy the stringent requirements of modern motion capture and animation professionals. In this paper, we try to shift the implementation of data glove from motion animation towards signature verification problem, making use of the offered multiple degrees of freedom for each finger and for the hand as well. The proposed technique is based on the Singular Value Decomposition (SVD) in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, and thus account for most of the variation in the original data, so the effective dimensionality of the data can be reduced. Having identified data glove signature through its rth principal subspace, the authenticity can then be obtained by calculating the angles between the different subspaces. The SVD-signature verification technique is tested with large number of authentic and forged signatures, showing remarkable level of accuracy in finding the similarities between genuine samples as well as those differentiated between genuine-forgery trials.

Keywords:

References

A. Bjorck and G. H. Golub, Math. Comput. 27, 579 (1973). Crossref, Web of Science, Google Scholar
F. Deprettere (ed.) , SVD and Signal Processing: Algorithms, Applications and Architectures ( North-Holland Publishing Co. , 1989 ) . Google Scholar
B. Fanget al., Patt. Recogn. 36(1), 91 (2003), DOI: 10.1016/S0031-3203(02)00061-4. Crossref, Web of Science, Google Scholar
J. Fierrez-Aguilaret al., An on-line signature verification system based on fusion of local and global information, Int. Conf. Audio and Video-Based Biometric Person Authentication (2005) pp. 523–532. Google Scholar
G. Golub and C. Van Loan , Matrix Commutations ( Johns Hopkins University Press , 1983 ) . Google Scholar
G. H. Golub and C. F. Van Loan , Matrix Computations , 3rd edn. ( Johns Hopkins University Press , Baltimore, MD , 1996 ) . Google Scholar
G. H. Golub and H. Y. Zha, Linear Algebra for Signal Processing (Springer-Verlag, New York, 1995) pp. 27–49. Crossref, Google Scholar
A. Herhagdelen and E. Alpaydm , Dynamic alignment distance based online signature verification , 13th Turkish Symp. Artificial Intelligence and Artificial Neural Networks ( 2004 ) . Google Scholar
A. Kholmatov and B. Yanikoglu, Patt. Recogn. Lett. 26, 2400 (2005), DOI: 10.1016/j.patrec.2005.04.017. Crossref, Web of Science, Google Scholar
K. Meenaskhi, K. Sargur and S. A. Xu, Int. J. Patt. Recogn. Artif. Intell. 18(7), 1339 (2004). Web of Science, Google Scholar
R. Plamondon, Int. J. Patt. Recogn. Artif. Intell. (1994). Google Scholar
Y. Qi and B. R. Hunt, Patt. Recogn. 27(12), 1621 (1994), DOI: 10.1016/0031-3203(94)90081-7. Crossref, Web of Science, Google Scholar
R. Sabourin, G. Genest and F. Prêteux, IEEE Trans. Patt. Anal. Mach. Intell. 19(9), 976 (1997), DOI: 10.1109/34.615447. Crossref, Web of Science, Google Scholar
D. Sakamatoet al., On-line signature verification incorporating pen position, pen pressure and pen inclination trajectories, IEEE Int. Conf. Acoustic, Speech, and Signal Processing (2005) pp. 993–996. Google Scholar
C. Sansone and M. Vento, Int. J. Docum. Anal. Appl. 3, 169 (2000). Web of Science, Google Scholar
M. M. Shafiei and H. R. Rabiee , A new on-line signature verification algorithm using variable length segmentation and hidden Markov models , Proc. Seventh Int. Conf. Document Analysis and Recognition ( 2003 ) . Google Scholar
R. J. Vaccaro , SVD and Signal Processing II: Algorithms, Analysis and Applications ( Elsevier , 1991 ) . Google Scholar
J. Wang, X. Liao and Z. Yi (eds.), Signature Recognition and Verification with Artificial Neural Network Using Moment Invariant Method (Springer-Verlag, Berlin, Heidelberg, 2005) pp. 195–202. Google Scholar
D. Yeunget al., SVC2004: First International Signature Verification Competition, ICBA 20043072, Lecture Notes in Computer Science (Springer-Verlag, Berlin, Heidelberg, 2004) pp. 16–22. Google Scholar