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A Review on Optical Character Recognition Techniques

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Hiral Modi, M. C. Parikh
10.5120/ijca2017913061

Hiral Modi and M C Parikh. A Review on Optical Character Recognition Techniques. International Journal of Computer Applications 160(6):20-24, February 2017. BibTeX

@article{10.5120/ijca2017913061,
	author = {Hiral Modi and M. C. Parikh},
	title = {A Review on Optical Character Recognition Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {6},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {20-24},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume160/number6/27078-2017913061},
	doi = {10.5120/ijca2017913061},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

At present scenario, there is growing demand for the software system to recognize characters in a computer system when information is scanned through paper documents. This paper presents detailed review in the field of Optical Character Recognition. Various techniques are determined that have been proposed to realize the center of character recognition in an optical character recognition system. OCR (Optical Character Recognition) translates images of typewritten or handwritten characters into the electronically editable format and it preserves font properties. Different techniques for pre-processing and segmentation have been surveyed and discussed in this paper.

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Keywords

Character Recognition System, Image Segmentation, OCR, Preprocessing, Skew correction, Classifier.