An Useful Review on Optical Character Recognition for Smart Era Generation

Author:

Das Abhishek1,Mohanty Mihir Narayan1

Affiliation:

1. ITER, Siksha ‘O' Anusandhan (Deemed), India

Abstract

In this chapter, the authors have reviewed on optical character recognition. The study belongs to both typed characters and handwritten character recognition. Online and offline character recognition are two modes of data acquisition in the field of OCR and are also studied. As deep learning is the emerging machine learning method in the field of image processing, the authors have described the method and its application of earlier works. From the study of the recurrent neural network (RNN), a special class of deep neural network is proposed for the recognition purpose. Further, convolutional neural network (CNN) is combined with RNN to check its performance. For this piece of work, Odia numerals and characters are taken as input and well recognized. The efficacy of the proposed method is explained in the result section.

Publisher

IGI Global

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Design of Variational Autoencoder for Generation of Odia Handwritten Numerals in CNN Model;Lecture Notes in Electrical Engineering;2021-12-16

2. e-Parking System in Corporate Parking Systems by Implementing Optical Character Recognition;6th International Conference on Sustainable Information Engineering and Technology 2021;2021-09-13

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