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Extracting and Segmenting Container Name from Container Images

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 74 - Number 19
Year of Publication: 2013
M. M. Aftab Chowdhury
Kaushik Deb

Aftab M M Chowdhury and Kaushik Deb. Article: Extracting and Segmenting Container Name from Container Images. International Journal of Computer Applications 74(19):18-22, July 2013. Full text available. BibTeX

	author = {M. M. Aftab Chowdhury and Kaushik Deb},
	title = {Article: Extracting and Segmenting Container Name from Container Images},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {74},
	number = {19},
	pages = {18-22},
	month = {July},
	note = {Full text available}


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.


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