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Paper Details
Paper Title
Audio Enabled Image Text Translation and Reading
Authors
  Aditi N. Kulkarni,  Prof S. S. Nagtilak
Abstract
The presented work proposes an algorithm that translates an image text from source language to destination language along with audio as well as visual output. A small scale demonstration has been done at the initial stage. The total concept has been processed in single software MATLAB. An algorithm initiates with an image processing technique called Segmentation followed by another one called Local Tetra Pattern. The source language i.e. a language of text present in an input image is a Marathi written in Devnagari script and destination language is English. Output is displayed with the help of MS Word application and audio version is provided through MS Excel. Input as well as output text is displayed and audio of translated output is given. We have got 100% result of both segmentation and character recognition for images considered.
Keywords- Content Based Image Retrieval (CBIR), Local Binary Pattern (LBP), Local Derivative Pattern (LDP), Local Ternary Pattern (LTP), Local Tetra Pattern (LTrP)
Publication Details
Unique Identification Number - IJEDR1701015Page Number(s) - 84-92Pubished in - Volume 5 | Issue 1 | January 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Aditi N. Kulkarni,  Prof S. S. Nagtilak,   "Audio Enabled Image Text Translation and Reading", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.84-92, January 2017, Available at :http://www.ijedr.org/papers/IJEDR1701015.pdf
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