Abstract
In this article an in-air signature biometric technique is proposed. Users would authenticate themselves by performing a 3-D gesture invented by them holding a mobile device embedding an accelerometer. All the operations involved in the process are carried out inside the mobile device, so no additional devices or connections are needed to accomplish this task. In the article, 34 different users have invented and repeated a 3-D gesture according to the biometric technique proposed. Moreover, three forgers have attempted to falsify each of the original gestures. From all these in-air signatures, an Equal Error Rate of 2.5% has been obtained by fusing the information of gesture accelerations of each axis X-Y-Z at decision level. The authentication process consumes less than two seconds, measured directly in a mobile device, so it can be considered as “real-time”.
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
ho Cho, D., Park, K.R., Rhee, D.W., Kim, Y., Yang, J.: Pupil and iris localization for iris recognition in mobile phones. In: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on, pp. 197–201 (2006)
Tao, Q., Veldhuis, R.: Biometric authentication for a mobile personal device. In: Annual International Conference on Mobile and Ubiquitous Systems, pp. 1–3 (2006)
Shabeer, H.A., Suganthi, P.: Mobile phones security using biometrics. In: International Conference on Computational Intelligence and Multimedia Applications, vol. 4, pp. 270–274 (2007)
Manabe, H., Yamakawa, Y., Sasamoto, T., Sasaki, R.: Security evaluation of biometrics authentications for cellular phones. In: International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 34–39 (2009)
Matsuo, K., Okumura, F., Hashimoto, M., Sakazawa, S., Hatori, Y.: Arm swing identification method with template update for long term stability. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 211–221. Springer, Heidelberg (2007)
Friederike, A.J., Jain, A.K., Griess, F.D., Connell, S.D., Lansing, E.J.M.: On-line signature verification. Pattern Recognition 35 (2002)
Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Transactions on Acoustics, Speech and Signal Processing 26(1), 43–49 (1978)
Durbin, R., Eddy, S., Krogh, A., Mitchison, G.: Biological sequence analysis, 11th edn. Cambridge University Press, Cambridge (2006)
de Santos Sierra, A., Avila, C., Vera, V.: A fuzzy dna-based algorithm for identification and authentication in an iris detection system. In: 42nd Annual IEEE International Carnahan Conference on Security Technology, ICCST 2008, October 2008, pp. 226–232 (2008)
Miller, W.: An introduction to bioinformatics algorithms. neil c. jones and pavel a. pevzner. Journal of the American Statistical Association 101, 855 (2006)
Verplaetse, C.: Inertial proprioceptive devices: self-motion-sensing toys and tools. IBM Syst. J. 35(3-4), 639–650 (1996)
Jain, A., Hong, L., Pankanti, S.: Biometric identification. ACM Commun. 43(2), 90–98 (2000)
Jain, A.K., Flynn, P., Ross, A.A.: Handbook of Biometrics. Springer, New York (2007)
Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recognition Letters 24(13), 2115–2125 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Casanova, J.G., Ávila, C.S., de Santos Sierra, A., del Pozo, G.B., Vera, V.J. (2010). A Real-Time In-Air Signature Biometric Technique Using a Mobile Device Embedding an Accelerometer. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_50
Download citation
DOI: https://doi.org/10.1007/978-3-642-14292-5_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14291-8
Online ISBN: 978-3-642-14292-5
eBook Packages: Computer ScienceComputer Science (R0)