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  Published Paper Details:

  Paper Title

A STUDY ON TEXT DETECTION AND CLASSIFICATION IN NATURAL IMAGES

  Authors

  Lakshmi Aravind,  Shabin P

  Keywords

MSER (Maximally Stable Extremal Regions), CNN (Convolution Neural Network)

  Abstract


Text recognition is a major area of experimentation under image processing domain. It is a process by which the system locates any kind of text is present and extract them from an image. The extracted text must be converted to human readable form after several processing and if required is classified them into meaningful classes based on the content present. The platform used here in discussion is MATLAB. This paper provides a detailed study on the evolution of text detection in natural images. It analyzes and also discusses the different methods to overcome existing challenges in text detection. This paper presents the different types of datasets which are used to identify text from natural images and comparative study of different text detection methods. The paper is concluded by a method to recognize and classify the multi-oriented text present in an image based on MSER and CNN.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTH020023

  Paper ID - 211907

  Page Number(s) - 127-131

  Pubished in - Volume 9 | Issue 10 | October 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Lakshmi Aravind,  Shabin P,   "A STUDY ON TEXT DETECTION AND CLASSIFICATION IN NATURAL IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.127-131, October 2021, Available at :http://www.ijcrt.org/papers/IJCRTH020023.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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