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Text Extraction Techniques

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IJCA Proceedings on National Seminar on Future Trends and Innovations in Computer Engineering
© 2016 by IJCA Journal
NSFTICE 2015 - Number 1
Year of Publication: 2016
Authors:
Yash Gupta
Shivani Sharma
Tushina Bedwal

Yash Gupta, Shivani Sharma and Tushina Bedwal. Article: Text Extraction Techniques. IJCA Proceedings on National Seminar on Future Trends and Innovations in Computer Engineering NSFTICE 2015(1):10-12, August 2016. Full text available. BibTeX

@article{key:article,
	author = {Yash Gupta and Shivani Sharma and Tushina Bedwal},
	title = {Article: Text Extraction Techniques},
	journal = {IJCA Proceedings on National Seminar on Future Trends and Innovations in Computer Engineering},
	year = {2016},
	volume = {NSFTICE 2015},
	number = {1},
	pages = {10-12},
	month = {August},
	note = {Full text available}
}

Abstract

As the growth of technology is emerging, It is beneficial for us to take put some innovative efforts for pulling this computer science field at a higher level. Text extraction is one of the recent growing technique to be enhanced further. Text Extraction is the process of extracting, evaluating and analyzing images. Detection, Localization, Binarization, Extraction, Enhancement, and Recognition are some of the steps to be involved in the process of text extraction. In today's challenging world this technique is a very cumbersome task to be performed because it indulges various activities like changes in fonts,size,orientation,text. There are many text extraction techniques that are based on connected component analysis, edge detection, morphological operators, wavelet transform, neural network, texture features etc. have been developed. In this paper we are providing some of the study of the techniques and comparison between various techniques such as region based technique, texture based technique and hybrid technique.

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