Client Aware Opportunistic Framework of Rich Mobile Applications in Mobile Cloud Environment
Uma Nandhini D, Latha Tamilselvan · International Journal of u- and e- Service Science and Technology · 2017
The key objective of this proposed work is to serve the purpose of constructing an efficient information retrieval system in collaboration with Mobile Cloud Computing.The developed system promotes efficient usage of our application for real book detection using Android Operating System with the assistance of Tesseract Optical Character Recognition (OCR) Engine, where all the relevant information is stored and retrieved from the cloud server environment.This phenomenon gives rise to the new paradigm called Mobile Cloud Computing based Real Time Book Detection.The application essentially perceives the title of the book after which the texts on it is automatically detected and identified using Optical Character Recognition (OCR).The main objective of the application is to advocate the users with different necessary features of the book such as ratings, reviews, and opinions along with the associated details like relevant authors and information.The above feature recognition of book is carried out using Clustering and Apriori algorithm which identifies the related data set with various associativity rules, which employs a better platform for users to identify their needs quickly.During this implementation process, the title of the book is captured by the mobile camera, the image is transferred to cloud server platform, where the computations like recognition are done using Tesseract and associativity of the relevant feature is tabulated using the data mining algorithm where it is retained and saved in the server itself.In due course, whenever the user needs the information, it is returned with the necessary details as a separate activity on the mobile screen.This application helps the user based on the context and avoids wasting memory and power in mobile by performing the core computation in the cloud.