Text detection in Nature Scene Images

Authors(3) :-Arpitha G, Greeshma B.R, Puneeth P

Text detection in natural scenes holds great importance in the field of research and still remains a challenge because of size, various fonts, line orientation, different illumination conditions, weak character and complex background in image. Here a nature Text detection from nature images can be processed through the Raspberry Pi device. Raspberry Pi device is one of the controller and it acts like CPU and the image processing code ca be done to this device which runs the code. In our proposed method, input image is captured through 2 ways: one through the Pi cam (real time image) and other through the system(dataset). The images maybe of different font and colour, different slant degree and are of different format like jpeg, jpg, png, etc. All kind of images are accepted as input. Both the images are trained and supervised and hence training and testing images are same. These processes completely rely on Raspberry Pi. The given input images boundary is identified and is converted from RGB format to gray scale image for further processing. A gray scale image is obtained then text regions are obtained based on the morphological features. The clustering the characters is performed. Finally forming of words and output is processed data displayed on terminal. All the process run through the terminal and output is also displayed on terminal.

Authors and Affiliations

Arpitha G
Assistant Professor, Information Science and Engineering, Maharaja Institute of Technology Mysore, Mysore, Karnataka, India
Greeshma B.R

Puneeth P

Pi cam, Raspberry pi, RGB

  1. Jianjun Chen Department of Intelligent Systems Design Engineering, IEEE,2017. A Homogeneous Region Based Methodology for Text Extraction from Natural Scene Images.
  2. Myung-Chul Sungl, Bongjin Jun2, Hojin Ch02 and Daijin Kiml IEEE,2015. Scene Text Detection with Robust Character Candidate Extraction Method

Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 433-436
Manuscript Number : CSEIT1835101
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Arpitha G, Greeshma B.R, Puneeth P, "Text detection in Nature Scene Images", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.433-436, May-June-2018. |          | BibTeX | RIS | CSV

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