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Extracting Text from Telugu Color Documents by Removing Dither Patterns

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Siva Rama Sastry Gumma

Siva Rama Sastry Gumma. Extracting Text from Telugu Color Documents by Removing Dither Patterns. International Journal of Computer Applications 181(48):1-7, April 2019. BibTeX

	author = {Siva Rama Sastry Gumma},
	title = {Extracting Text from Telugu Color Documents by Removing Dither Patterns},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2019},
	volume = {181},
	number = {48},
	month = {Apr},
	year = {2019},
	issn = {0975-8887},
	pages = {1-7},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2019918653},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Preprocessing is an important step in the development of Optical Character Recognition (OCR) system. Inpreprocessing there are various modules like binarization, skew detection and correction etc. Among these modules this paper discusses about binarization module. Although there are many algorithms for binarization of a document image, there are fewer algorithms for binarization of printed color images because of printed color documents contain dither patterns, normal text, reversed text, colored text overlayed on colored background drawings and graphics appear with millions of different colors. Hence preprocessing for colored documents is a challenging task to work.For printed color documents, elimination of dither patterns using Butterworth band reject filter and text extraction in the color documents by eliminating graphics using height of the component is also presented. Results on a corpus consisting of newspapers published in Telugu show that the proposed method shows promising results.


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OCR, threshold, binarization, dither patterns, connected components