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Reseach Article

Extracting and Segmenting Container Name from Container Images

by M. M. Aftab Chowdhury, Kaushik Deb
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 19
Year of Publication: 2013
Authors: M. M. Aftab Chowdhury, Kaushik Deb
10.5120/13001-0039

M. M. Aftab Chowdhury, Kaushik Deb . Extracting and Segmenting Container Name from Container Images. International Journal of Computer Applications. 74, 19 ( July 2013), 18-22. DOI=10.5120/13001-0039

@article{ 10.5120/13001-0039,
author = { M. M. Aftab Chowdhury, Kaushik Deb },
title = { Extracting and Segmenting Container Name from Container Images },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 19 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number19/13001-0039/ },
doi = { 10.5120/13001-0039 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:43.137117+05:30
%A M. M. Aftab Chowdhury
%A Kaushik Deb
%T Extracting and Segmenting Container Name from Container Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 19
%P 18-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Container name extraction is very important to the modern container management system. Similar techniques have been suggested for vehicle license plate recognition in past decades. Container name extraction has more complexity from license plate extraction because of the severity of nonuniform illumination and invalidation of color information. The main purpose of this paper is to propose a new methodology for text extraction,segmenting text characters and removing non text,background from images. Existing text extraction methods do not work efficiently in case of images with noice and complex background. Documents with only text work efficiently in OCR. The approach used is based on edge detection,close operation,detecting connected components,removing non text regions and character segmentation.

References
  1. K. Jain and B. Yu, "Document representation and its application to page decomposition," IEEE Trans. Pattern Anal. Machine Intell. , vol. 20, pp. 294–308, Mar. 1998.
  2. J. Ohya, A. Shio, and S. Akamatsu, "Recognizing characters in scene images," IEEE Trans. Pattern Anal. Machine Intell. , vol. 16, pp. 215–220, Feb. 1994.
  3. H. M. Suen and J. F. Wang, "Text string extraction from images of colorpriented documents," Proc. Inst. Elect. Eng. Vis. ,Image, Signal Process. , vol. 143, no. 4, pp. 210–216,1996.
  4. Nobuyuki Otsu, A threshold selection method from gray-level histograms. IEEE Trans. Sys. ,Man. , Cyber 9(1):62-66.
  5. Y. K. Ham, M. S. Kang, H. K. Chung, and R. H. Park, "Recognition of raised characters for automatic classification of rubber tires," Opt. Eng. ,vol. 34, pp. 102–108, Jan. 1995.
  6. R. Lienhart, "Indexing and retrieval of digital video sequences based on automatic text recognition," in Proc. ACM Int. Conf. , Boston, MA, Nov. 1996.
  7. L. Wang and T. Pavlidis, "Direct gray-scale extraction of features for character recognition," IEEE Trans. Pattern Anal. Machine Intell. , vol. 15, pp. 1053–1067, Oct. 1993.
  8. Y. Zhong, K. Karu, and A. K. Jain, "Locating text in complex color images," Pattern Recognit. , vol. 28, no. 10, pp. 1523–1535,1995.
  9. Jagath Samarabandu, Member, IEEE, and Xiaoqing Liu 2007 "An Edge-based Text Region Extraction Algorithm for Indoor Mobile Robot Navigation" ,International Journal of Signal Processing 3(4 )2007.
  10. Yassin M. Y. Hasan and Lina J. Karam 2000 "Morphological Text Extraction from Images" IEEE Transaction on Image Processing vol. 9,no. 11,Nov. 2000
Index Terms

Computer Science
Information Sciences

Keywords

Mathematical Morphology Morphological Operators Edge detection Localization Connected Component