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.
Jayakumar Vaithiyashankar, Shohel Sayeed, Anang Hudaya Bin Muhamad Amin and Andrews Samraj. Design of Multimodal Biometric Framework for Distributed Personal Identification.
DOI: https://doi.org/10.36478/jeasci.2017.2367.2370
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.2367.2370