An Efficient Multimodal Biometric Authentication Integrating Fingerprint and Face Features
Shohel Sayeed, Ilham Nasir and Thian Song Ong
DOI : 10.3844/ajassp.2016.1221.1227
American Journal of Applied Sciences
Volume 13, Issue 11
Biometrics authentication has been used in many applications such as e-commerce, access control etc. In this research, multimodal biometric authentication in light of score level combination of fingerprint and face is proposed. Face and fingerprint is two of the most popular biometric traits and can complement each other for more reliable user authentication. To verify the effectiveness of the proposed method, FERET, SDUMLA-HMT and FVC2002 databases are used in this research. Furthermore, experimental results showed that the proposed fusion based method for fingerprint and face recognition can improve the performance in terms of Equal Error Rate (EER). Eventually, the experimental result shows that our proposed fusion based technique appears to be promising with 7.01~9.13% of EER based on the different datasets.
© 2016 Shohel Sayeed, Ilham Nasir and Thian Song Ong. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.