SURVEY ON TEXT DETECTION AND TEXT RECOGNITION METHODOLOGY FOR NATURAL IMAGES

Authors

  • Miss. Beena Dhamecha Department of Computer Engineering, R.K.University, Rajkot, Gujrat, India
  • Prof. Vaishali J. Kalariya Department of Computer Engineering, R.K.University, Rajkot, Gujrat, India

Keywords:

text detection; text recognition; complex background; localization; extraction

Abstract

Text in Natural Images contains a valuable information about scene, convey the information about what is
actually depicted in the images. There are many applications like image searching and indexing, navigation,
understanding of image, identify vehicles number plate and human computer interaction etc. Manually assignment of text
from scene images is very time consuming andcostly. Hence automation of text extraction is challengin g task because of
text might be in different style, different font, illumination condition, poor quality, surface deformation , complex
background etc. Different techniques have been proposed to solve this problem. This paper gives description of work
done for automatically text detection and recognition in scene images having complex background.

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Published

2014-11-25

How to Cite

Miss. Beena Dhamecha, & Prof. Vaishali J. Kalariya. (2014). SURVEY ON TEXT DETECTION AND TEXT RECOGNITION METHODOLOGY FOR NATURAL IMAGES. International Journal of Advance Engineering and Research Development (IJAERD), 1(11), 283–285. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/354

Issue

Vol. 1 No. 11 (2014): Volume 1 Issue 11 (November-2014)

Section

Articles