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An application of deep learning in character recognition: an overview

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posted on 2019-01-01, 00:00 authored by S Saeed, S Naz, Imran RazzakImran Razzak
For automated document analysis, OCR (Optical character recognition) is a basic building block. The robust automated document analysis system can have impact over a wider sphere of life. Many of the researchers have been working hard to build OCR systems in various languages with significant degree of accuracy, character recognition rate and minimum error rate. Deep learning is the start of art technique with efficient and accurate result as compared to other techniques. Every language, moreover every script have its own challenges e.g. scripts where characters are well separated are less challenging as compared to cursive scripts where characters are attached with one another. In this chapter, we would take a detailed account of the state of art deep learning techniques for Arabic like script, Latin script and symbolic script.

History

Volume

136

Chapter number

3

Pagination

53-81

ISSN

2190-3018

eISSN

2190-3026

ISBN-13

9783030114794

Edition

1st

Language

eng

Publication classification

B1.1 Book chapter

Copyright notice

2019, Springer Nature Switzerland AG.

Extent

17

Editor/Contributor(s)

Balas V, Roy S, Sharma D, Samui P

Publisher

Springer

Place of publication

Cham, Switzerland

Title of book

Handbook of deep learning applications

Series

Smart innovation, systems and technologies

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