Abstract
In this paper we report on first experimental results of a novel multimodal user authentication system based on a combined acquisition of online handwritten signature and speech modalities. In our project, the so-called CHASM signatures are recorded by asking the user to utter what he is writing. CHASM actually stands for Combined Handwriting and Speech Modalities where the pen and voice signals are simultaneously recorded. We have built a baseline CHASM signature verification system for which we have conducted a complete experimental evaluation. This baseline system is composed of two Gaussian Mixture Models sub-systems that model independently the pen and voice signal. A simple fusion of both sub-systems is performed at the score level. The evaluation of the verification system is conducted on CHASM signatures taken from the MyIDea multimodal database, accordingly to the protocols provided with the database. This allows us to draw our first conclusions in regards to time variability impact, to skilled versus unskilled forgeries attacks and to some training parameters. Results are also reported for the two sub-systems evaluated separately and for the global system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the em algorithm. Journal of Royal Statistical Society 39(1), 1–38 (1977)
Dumas, B., et al.: Myidea - multimodal biometrics database, description of acquisition protocols. In: Proc. of Third COST 275 Workshop (COST 275), Hatfield, UK, October 27-28, pp. 59–62 (2005)
Fuentes, M., et al.: Identity verification by fusion of biometric data: On-line signature and speech. In: Proc. COST 275 Workshop on The Advent of Biometrics on the Internet, Rome, Italy, November 2002, pp. 83–86 (2002)
Garcia-Salicetti, S., et al.: Biomet: a multimodal person authentication database including face, voice, fingerprint, hand and signature modalities. In: Kittler, J., Nixon, M.S. (eds.) AVBPA 2003. LNCS, vol. 2688. Springer, Heidelberg (2003)
Hennebert, J., Dumas, B., Pugin, C., Evéquoz, F., Humm, A., Petrovska-Delacrétaz, D.: MyIDea home page (2005), http://diuf.unifr.ch/go/myidea
Humm, A., Hennebert, J., Ingold, R.: Combined handwriting and speech modalities for user authentication. Technical Report 06-05, University of Fribourg, Department of Informatics (2006)
Jain, A., Nandakumar, K., Ross, A.: Score normalization in multimodal biometric systems. Pattern Recognition 38, 2270–2285 (2005)
Krawczyk, S., Jain, A.K.: Securing electronic medical records using biometric authentication. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 1110–1119. Springer, Heidelberg (2005)
Leclerc, F., Plamondon, R.: Automatic signature verification: the state of the art–1989-1993. Int’l J. Pattern Recog. and Artif. Intel. 8(3), 643–660 (1994)
Lee, L., Berger, T., Aviczer, E.: Reliable on-line human signature verification systems. IEEE Trans. Pattern Anal. and Mach. Intel. 18(6), 643–647 (1996)
Ly-Van, B., Blouet, R., Renouard, S., Garcia-Salicetti, S., Dorizzi, B., Chollet, G.: Signature with text-dependent and text-independent speech for robust identity verification. In: Proc. MMUA, pp. 13–18 (December 2003)
Ly Van, B., Garcia-Salicetti, S., Dorizzi, B.: Fusion of hmm’s likelihood and viterbi path for on-line signature verification. In: Biometrics Authentication Workshop, Prague, May 15 (2004)
Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M.: The det curve in assesment of detection task performance. In: Eurospeech 1997, Rhodes, Greece, pp. 1895–1898 (1997)
Rabiner, L., Juang, B.-H.: Fundamentals Of Speech Recognition. Prentice-Hall, Englewood Cliffs (1993)
Reynolds, D.: Automatic speaker recognition using gaussian mixture speaker models. The Lincoln Laboratory Journal 8(2), 173–191 (1995)
Reynolds, D.: An overview of automatic speaker recognition technology. In: Proc. IEEE ICASSP, vol. 4, pp. 4072–4075 (2002)
Richiardi, J., Drygajlo, A.: Gaussian mixture models for on-line signature verification. In: Proc. 2003 ACM SIGMM workshop on Biometrics methods and applications, pp. 115–122 (2003)
Vielhauer, C.: Biometric User Authentication for IT Security. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Humm, A., Hennebert, J., Ingold, R. (2006). Gaussian Mixture Models for CHASM Signature Verification. In: Renals, S., Bengio, S., Fiscus, J.G. (eds) Machine Learning for Multimodal Interaction. MLMI 2006. Lecture Notes in Computer Science, vol 4299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11965152_9
Download citation
DOI: https://doi.org/10.1007/11965152_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69267-6
Online ISBN: 978-3-540-69268-3
eBook Packages: Computer ScienceComputer Science (R0)