General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail:
    • Journal Metrics:

Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2018 Vol.10(3): 77-83 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2018.V10.1203

An Android-Based Useful Text Extraction Framework Using Image and Natural Language Processing

Rafsanjany Kushol, Imamul Ahsan, and Md. Nishat Raihan

Abstract—With the rapid advancement of the mobile technologies, we now use mobile applications in every aspect of our life. At present when we find some useful information from business cards, newspapers, books, flyers and so on we do not usually note them rather we capture the image using mobile devices. However, the texts obtained from these images need to be processed further to make our task unequivocal. In this paper, we present an android application framework that can process the texts obtained from an image to get contact information from business cards as well as event information from magazines, posters or flyers. Google Cloud Vision API is used to retrieve the text from the captured image and OpenNLP to extract useful information from the obtained text. The experimental results show that our application is effective and efficient in terms of accuracy as well as processing time.

Index Terms—Android, optical character recognition, natural language processing, Google Cloud Vision API, OpenNLP.

The authors are with the Computer Science and Engineering Department, Islamic University of Technology (IUT), Bangladesh (e-mail:,,


Cite:Rafsanjany Kushol, Imamul Ahsan, and Md. Nishat Raihan, "An Android-Based Useful Text Extraction Framework Using Image and Natural Language Processing," International Journal of Computer Theory and Engineering vol. 10, no. 3, pp. 77-83, 2018.

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