TY  - JOUR
T1  - Design of Multimodal Biometric Framework for Distributed Personal Identification
AU - Vaithiyashankar, Jayakumar AU - Sayeed, Shohel AU - Hudaya Bin Muhamad Amin, Anang AU - Samraj, Andrews 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 9
SP  - 2367
EP  - 2370
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.2367.2370
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.2367.2370
KW  - parallel searching
KW  -personal identification
KW  -reliability
KW  -Multimodal biometrics
KW  -cloud computing
KW  -parallel searching
KW  -personal identification
KW  -reliability
AB  - In this study, we proposed a multi-modal biometric framework for the human identification based on
the cloud computing platform. The proposed framework focuses on personal identification and the accuracy
of the identification process. Additionally, it involves in discussing the advantages of multi-modal biometrics
over the single modal methods. Also, the study elaborates about the improved method of combining
the multi-modal biometrics with the parallel search method. This suggested design ensures the reliability and
accuracy in the fast manner such that the validity of the system is confirmed.
ER  -