Multi-modal authentication using continuous dynamic programming

Authors:
K. R. Radhika;S. V. Sheela;M. K. Venkatesha;G. N. Sekhar
Affiliations:
B M S College of Engineering, Bangalore, India;B M S College of Engineering, Bangalore, India;R N S Institute of Technology, Bangalore, India;B M S College of Engineering, Bangalore, India
Venue:
BioID_MultiComm'09 Proceedings of the 2009 joint COST 2101 and 2102 international conference on Biometric ID management and multimodal communication
Year:
2009

Citing 7
Cited 2

Effect of Time-Spatial Size of Motion Image for Localization by Using the Spotting Method

ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Facial Expression Recognition Using Continuous Dynamic Programming

RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Spotting Recognition and Tracking of a Deformable Object in a Time-Varying Image Using Two-Dimensional Continuous Dynamic Programming

CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Shift continuous DP: A fast matching algorithm between arbitrary parts of two time-sequence data sets

Systems and Computers in Japan
A segmentation-free biometric writer verification method based on continuous dynamic programming

Pattern Recognition Letters
Biometrics: Personal Identification in Networked Society

Biometrics: Personal Identification in Networked Society
UBIRIS: a noisy iris image database

ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing

On-line signature authentication using Zernike moments

BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
An approach for on-line signature authentication using Zernike moments

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

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.