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Design of an Effective Preprocessing Approach for Offline Handwritten Images

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 98 - Number 1
Year of Publication: 2014
Dimple Bhasin
Gulshan Goyal
Maitreyee Dutta

Dimple Bhasin, Gulshan Goyal and Maitreyee Dutta. Article: Design of an Effective Preprocessing Approach for Offline Handwritten Images. International Journal of Computer Applications 98(1):17-23, July 2014. Full text available. BibTeX

	author = {Dimple Bhasin and Gulshan Goyal and Maitreyee Dutta},
	title = {Article: Design of an Effective Preprocessing Approach for Offline Handwritten Images},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {98},
	number = {1},
	pages = {17-23},
	month = {July},
	note = {Full text available}


Handwritten pattern recognition involves conversion of scanned images of handwritten patterns into a computer processable form. To recognize handwritten patterns is an easy and trivial task for human beings, but for a machine it is a cumbersome and a difficult task due to high variations in the shape of characters and writing style. Although complicated to train, yet machines can be useful in providing solution to the recognition problem. They save time and money and eliminate the requirement of execution of repetitive tasks by humans. In order to have better recognition the image should be properly pre-processed. Pre-processing reduces and eliminates noise and irregularities. The present paper focuses on different approaches to pre-processing and an insight to general methodology for the recognition process.


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