Integration of multiple cues for a human authentication system

0Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

In the field of biometrics, personal authentication and identification are regarded as effective methods for automatic recognition of a person. Using multimodal biometric systems, we typically get better recognition performance compared to using a single biometric modality. We propose a multimodal biometric system using two modalities: palmprint and speech. Integrating the palmprint and speech features increases the recognition performance. We extract the discriminant features using a modified canonical form method for the Palmprint and the Mel Frequency Cepstral Coefficients (MFCC) technique for speech. The final decision is then made by fusion at the matching score level. Using a large database as the test set, the experimental results show significant improvement in reliability of recognition systems and demonstrate increases in the recognition rate. © 2010 Published by Elsevier Ltd.

Cite

CITATION STYLE

APA

Mahesh, P. K., & Swamy, M. N. S. (2010). Integration of multiple cues for a human authentication system. In Procedia Computer Science (Vol. 2, pp. 188–194). Elsevier B.V. https://doi.org/10.1016/j.procs.2010.11.024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free