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Comparisons of Different Computer Vision Techniques for Text Translation

Author(s):

Ashwini Ashok Shinde , LoGMIEER,Nashik; Malini Dnyaneshwar Tungar, LoGMIEER, Nashik; Pooja Sakharam Khairnar, LoGMIEER, Nashik; Jyoti Suresh Gunjkar, LoGMIEER, Nashik

Keywords:

Mobile App, Power Consumption Cloud Computing, Energy Efficient & Business Card

Abstract

The cloud computing and the smart phone technology are the newly concept they introduce different application in various sectors. In this we introduce valuable efficient energy for Google vision. One of the application is allowed user to use a Google vision with a camera on their handset to translate Another language sign into English language so that it very simple for any user to understand that. By Using camera capture the Business card for Storing Information on Cloud Server. In this we introduce an Energy efficient, Business Card Recognition for Text Translation. In this we also used to check whether the given translated text is accurate or not, so for that we used accuracy model. There we also used camera driven process algorithm and energy efficient mode to improve the energy efficiency. It provide the scalability support for the language translation. The main important thing is that, here we using Google vision API. The Google vision API is used for the text translation and for the image analysis. We use fire-base as a cloud where we stored all the data. In this application we used JSON platform for back end. Allowing App to use multiple translation server, Translated text is again send back by cloud. After that this translated text is going to the accuracy model, where this model checks whether the translated text is accurate or not.

Other Details

Paper ID: IJSRDV4I70563
Published in: Volume : 4, Issue : 7
Publication Date: 01/10/2016
Page(s): 900-905

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