Abstract
Storing and retrieving the behavioral and physiological templates of a person for authentication using a common algorithm is indispensable in on-line applications. This paper deals with authentication of on-line signature data and textual iris information using continuous dynamic programming [CDP]. Kinematic derived feature, acceleration is considered. The shape of acceleration plot is analysed. The experimental study depict that, as the number of training samples considered for CDP algorithm increase, the false rejection rate decrease.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ortega-Garcia, J., Fierrez-Aguilar, J., et al.: MCYT baseline corpus: A bimodal biometric database. IEEE Proc. Vision, Image and Signal Processing 150(6), 395–401 (2003)
Kameya, H., Mori, S., Oka, R.: A segmentation-free biometric writer verification method based on continuous dynamic programming. Pattern Recognition Letters 27(6), 567–577 (2006)
Kameya, H., Mori, S., Oka, R.: A method of writer verification without keyword registration using feature sequences extracted from on-line handwritten sentences. In: Proc. MVA2002 IAPR Workshop., vol. 1, pp. 479–483 (2002)
Oka, R.: Spotting Method for Classification of Real World Data. Computer Journal 41(8), 559–565 (1998)
Zhang, H., Guo, Y.: Facial Expression Recognition using Continuous Dynamic Programming. In: Proc. IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp. 163–167 (2001)
Iwasa, Y., Oka, R.: Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming. In: Proc. The Fourth International Conference on Computer and Information Technology, pp. 33–38 (2004)
Itoh, Y., Kiyama, J., Oka, R.: A Proposal for a New Algorithm of Reference Interval-free Continuous DP for Real-time Speech or Text Retrieval. In: Proc. International Conference on Spoken Language Processing., vol. 1, pp. 486–489 (1996)
Kiyama, J., Itoh, Y., Oka, R.: Automatic Detection of Topic Boundaries and Keywords in Arbitrary Speech Using Incremental Reference Interval-free Continuous DP. In: Proc. International Conference on Spoken Language Processing., vol. 3, pp. 1946–1949 (1996)
Nishimura, T., Kojima, H., Itoh, Y., Held, A., Nozaki, S., Nagaya, S., Oka, R.: Effect of Time-spatial Size of Motion Image for Localization by using the Spotting Method. In: Proc. 13th International Conference on Pattern Recognition, pp. 191–195 (1996)
Nishimura, T., Sogo, T., Ogi, S., Oka, R., Ishiguro, H.: Recognition of Human Motion Behaviors Using View-Based Aspect Model Based on Motion Change. IEICE Transactions on Information and systems, J84-D 2(10), 2212–2223 (2001)
Itoh, Y.: Shift continuous DP: A fast matching algorithm between arbitrary parts of two time-sequence data sets. Systems and Computers in Japan 36(10), 43–53 (2005)
Jain, A.K., Bolle, R., Pankanthi, S.: BIOMETRICS Personal Identification in Networked Society
Proenca, H., Alexandre, L.A.: UBIRIS: A Noisy Iris Image Database. In: Roli, F., Vitulano, S. (eds.) ICIAP 2005. LNCS, vol. 3617, pp. 970–977. Springer, Heidelberg (2005)
CASIA-IrisV3, http://www.cbsr.ia.ac.cn/IrisDatabase.htm
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Radhika, K.R., Sheela, S.V., Venkatesha, M.K., Sekhar, G.N. (2009). Multi-modal Authentication Using Continuous Dynamic Programming. In: Fierrez, J., Ortega-Garcia, J., Esposito, A., Drygajlo, A., Faundez-Zanuy, M. (eds) Biometric ID Management and Multimodal Communication. BioID 2009. Lecture Notes in Computer Science, vol 5707. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04391-8_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-04391-8_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04390-1
Online ISBN: 978-3-642-04391-8
eBook Packages: Computer ScienceComputer Science (R0)