Paper Info
Title
Image To Multilingual Text Conversion For Literacy Education
Abstract
Currently both language and images are essential to the texts we use while language and images can combine for literacy education. In this research work, an application is developed to translate the text integrated to images for visual literacy. Further, several approaches for image-to-text multilingual translator are reviewed in detail. By overcoming the gaps, which are identified by thorough review of the literature, an improved methodology is proposed. As a result, the development of application goes through four major phases including: capturing, extraction, recognition and translation. Moreover, Optical Character Recognition algorithm is particularly used for character extraction and recognition with high accuracy under different environmental circumstances. It translates text just by capturing an image with user smart phone camera and translation instantly appears on user's mobile screen in language selected by the user. The proposed solution may particularly be helpful in literacy education, for learning different languages and possibly can work as visitors' assistant.
Year
DOI
Venue
2018
10.1109/ICMLA.2018.00215
2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA)
Keywords
Field
DocType
multilingual image to text translation, image extraction, recognition, OCR, Microsoft translator
Literacy,Character recognition,Visual literacy,Computer science,Optical character recognition,Human–computer interaction,Artificial intelligence,Smart phone,Optical imaging,Text recognition,Machine learning,Optical character recognition software
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Muhammad Ajmal100.34
Farooq Ahmad202.03
A. M. Martinez-Enriquez3108.13
Mudasser Naseer432.46
Aslam Muhammad5229.31
Mohsin Ashraf600.34