Journal of Innovative Image Processing
IRO Journals
Volume 4 — Issue 2 — June 2022

An Empirical Analysis of Tamil Optical Character Recognition

https://doi.org/10.36548/jiip.2022.2.006
Pages: 115-126
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B. Radhika
Assistant Professor, Computer Science Department, SNS College of Engineering, Coimbatore, India
June 2022
Volume 4 — Issue 2
Journal of Innovative Image Processing
PDF

How to Cite

Radhika, B. 2022. “An Empirical Analysis of Tamil Optical Character Recognition”. Journal of Innovative Image Processing 4 (2): 115-26. https://doi.org/10.36548/jiip.2022.2.006.
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Keywords

— Artificial intelligence
— optical character recognition
— tamil language
— tamil script
— visual cues
Published: 18-07-2022

Abstract

The concept of visual cues in a paperless workspace is based on converting scanned images into machine-readable text. It requires the development of a variety of new applications, such as automated postal systems, banks, institutions, word processing, and library systems, to name a few. Artificial Intelligence (AI) is an area of computer science that focuses on making machines smart. Hand typing, script, and print text recognition are key study subjects because no 100% recognition can be achieved even if the scanned image is accurate. Text, numbers, and images can all be used to write text in a variety of ways. The basics of Tamil text, previous tasks in Tamil text attention, Tamil letter recognition algorithms, and recognition barriers are covered in this study.

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