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2017 | OriginalPaper | Chapter

2. Optical Character Recognition Systems

Authors : Arindam Chaudhuri, Krupa Mandaviya, Pratixa Badelia, Soumya K. Ghosh

Published in: Optical Character Recognition Systems for Different Languages with Soft Computing

Publisher: Springer International Publishing

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Abstract

Optical character recognition (OCR) is process of classification of optical patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction and classification. This chapter presents the basic ideas of OCR needed for a better understanding of the book. The chapter starts with a brief background and history of OCR systems. Then the different techniques of OCR systems such as optical scanning, location segmentation, pre-processing, segmentation, representation, feature extraction, training and recognition and post-processing. The different applications of OCR systems are highlighted next followed by the current status of the OCR systems. Finally, the future of the OCR systems is presented.

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previous chapter Introduction
next chapter Soft Computing Techniques for Optical Character Recognition Systems
Literature
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Metadata
Title
Optical Character Recognition Systems
Authors
Arindam Chaudhuri
Krupa Mandaviya
Pratixa Badelia
Soumya K. Ghosh
Copyright Year
2017
Book
Optical Character Recognition Systems for Different Languages with Soft Computing

Print ISBN: 978-3-319-50251-9

Electronic ISBN: 978-3-319-50252-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-50252-6_2

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