rpm-ftui
Authors Prasetyawidi Indrawan, Slamet Budiyatno, Nur Muhammad Ridho, Riri Fitri
Publication Name International Journal on Cloud Computing: Services and Architecture (IJCCSA)
Abstract Social Networking has become today’s lifestyle and anyone can easily receive information about everyone in the world. It is very useful if a personal identity can be obtained from the mobile device and also connected to social networking. Therefore, we proposed a face recognition system on mobile devices by combining cloud computing services. Our system is designed in the form of an application developed on Android mobile devices which utilized the Face.com API as an image data processor for cloud computing services. We also applied the Augmented Reality as an information viewer to the users. The result of testing shows that the system is able to recognize face samples with the average percentage of 85% with the total computation time for the face recognition system reached 7.45 seconds, and the average augmented reality translation time is 1.03 seconds to get someone’s information.
Publisher International Journal on Cloud Computing: Services and Architecture (IJCCSA)
ISSN ---
Page 23-35
Volume 13
Impact Factor (JCR) ---
SJR ---
Ranking Quartile Q5
Website https://www.google.co.id/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwiAt5rSuM3QAhVMLI8KHVJSDHoQFggeMAA&url=http://airccse.org/journal/ijccsa/papers/3113ijccsa02.pdf&usg=AFQjCNFX