Intelligent Character Recognition System Using Convolutional Neural Network

Suriya, S. and S, Dhivya and M, Balaji (2020) Intelligent Character Recognition System Using Convolutional Neural Network. EAI Endorsed Transactions on Cloud Systems, 6 (19). p. 166659. ISSN 2410-6895

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Abstract

Computational Linguistics involves the techniques of Computer Science which play a vital role in recognizing written or printed characters such as numbers or letters to change them into a form that the computer can use it efficiently. Convolutional Neural Network differs from other approaches by extracting the features automatically. The proposed approach is capable of recognizing characters in a variety of challenging conditions using the Convolutional Neural Network, where traditional character recognition systems fail, notably in the presence of low resolution, substantial blur, low contrast, and other distortions. Intellectual Character Recognition System is an application that uses Convolutional Neural Network (CNN) to recognize the Tamil character dataset accurately developed by HP Labs India. The novelty of this system is that, it recognizes the characters of the Predominant Tamil language. With the help of suitable datasets consisting of the Tamil Scripts, the model is trained efficiently. This work has produced a training accuracy of 99.16% which is far better compared to the traditional approaches.

Item Type: Article
Uncontrolled Keywords: Computational Linguistics, Character Recognition, Convolutional Neural Networks, Machine Learning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 21 Jan 2021 06:54
Last Modified: 21 Jan 2021 06:54
URI: https://eprints.eudl.eu/id/eprint/804

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