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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 2, FEBRUARY 2016

Image to Text Viewer (iTV)

Atul Thorat, Deepak Singh, Rohit Kadam, Prof. Uttara Gogate

DOI: 10.17148/IJARCCE.2016.52121

Abstract: Image To Text Viewer is a mobile application which converts a textual image captured by the android devices into editable and searchable text document. It uses smart phones of android platform. This paper introduces the functionality of Optical Character Recognition, Tesseract Engine and Android studio. iTV system provides many features like editing raw data, Memory utilization and Quick translation. iTV is more efficient and easier alternative to scanning a document using a scanner as the image captured using OCR is of exactly the same quality like its scanned copy. The advantage of using OCR is that we can get scanned copy of any document image with the help of a simple mobile phone camera without using a bulky scanner. The aim is to develop a user friendly application that is used to convert the image captured by the android devices into editable and searchable text document anywhere and anytime.



Keywords: Optical Character Recognition System (OCR), Tesseract Engine, Camera Captured Document Images, Android smart phone.

How to Cite:

[1] Atul Thorat, Deepak Singh, Rohit Kadam, Prof. Uttara Gogate, “Image to Text Viewer (iTV),” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.52121