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A Weighted Hybrid Thresholding Approach for Text Binarization

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 52 - Number 7
Year of Publication: 2012
S. T. Deepa
S. P. Victor

S T Deepa and S P Victor. Article: A Weighted Hybrid Thresholding Approach for Text Binarization. International Journal of Computer Applications 52(7):41-43, August 2012. Full text available. BibTeX

	author = {S. T. Deepa and S. P. Victor},
	title = {Article: A Weighted Hybrid Thresholding Approach for Text Binarization},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {52},
	number = {7},
	pages = {41-43},
	month = {August},
	note = {Full text available}


Text extraction in real images taken in unconstrained environments remains surprisingly challenging in Computer Vision due to language characteristics, complex backgrounds and the text color. Extraction of text and caption from images and videos is important and in great demand for video retrieval, annotation, indexing and content analysis. In this paper we propose a weighted hybrid thresholding approach. It is demonstrated that the proposed method achieved reasonable accuracy of the text extraction for moderately difficult examples.


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