Mobile commerce security needs quality services where mobile devices respond in real-time and traditional cloud computing approach uses a centralized architecture does not support these systems with such time dependency well. Thus, this study proposes a cross-age face-recognition model with MobileNets to determine the identity of a user in the situation of aging appearance change on a fog computing architecture. Especially, this study uses a face-recognition technique based on a distributed concept. In this concept, MobileNet-based face recognition system effectively performs cross-age face recognition for identity authentication with the enhanced facial features of the users locally. Overall, the MobileNet model reaches acceptable prediction accuracy with lower latency in face recognition process compared with that of the existing CNNs schemes.
|Name||2018 Ieee 15th International Conference On E-Business Engineering (Icebe 2018)|
|Publisher||IEEE COMPUTER SOC|
|Conference|| IEEE 15th International Conference on E-Business Engineering (ICEBE)|
|Period||12/10/18 → 14/10/18|
- cross-age face recognition; user authentication; fog computing architecture; MobileNets; convolutional neuron networks