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Use of Deep Neural Network for Optical Character Recognition

Use of Deep Neural Network for Optical Character Recognition

Abhishek Das, Mihir Narayan Mohanty
Copyright: © 2020 |Pages: 36
ISBN13: 9781799844440|ISBN10: 1799844447|EISBN13: 9781799844457
DOI: 10.4018/978-1-7998-4444-0.ch012
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MLA

Das, Abhishek, and Mihir Narayan Mohanty. "Use of Deep Neural Network for Optical Character Recognition." Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies, edited by Muhammad Sarfraz, IGI Global, 2020, pp. 219-254. https://doi.org/10.4018/978-1-7998-4444-0.ch012

APA

Das, A. & Mohanty, M. N. (2020). Use of Deep Neural Network for Optical Character Recognition. In M. Sarfraz (Ed.), Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies (pp. 219-254). IGI Global. https://doi.org/10.4018/978-1-7998-4444-0.ch012

Chicago

Das, Abhishek, and Mihir Narayan Mohanty. "Use of Deep Neural Network for Optical Character Recognition." In Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies, edited by Muhammad Sarfraz, 219-254. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-4444-0.ch012

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Abstract

In this chapter, the authors have given a detailed review on optical character recognition. Various methods are used in this field with different accuracy levels. Still there are some difficulties in recognizing handwritten characters because of different writing styles of different individuals even in a particular language. A comparative study is given to understand different types of optical character recognition along with different methods used in each type. Implementation of neural network in different forms is found in most of the works. Different image processing techniques like OCR with CNN, RNN, combination of CNN and RNN, etc. are observed in recent research works.

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