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Volume - 4 | Issue - 2 | june 2022

An Empirical Analysis of Tamil Optical Character Recognition Open Access
B. Radhika   578
Pages: 115-126
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Cite this article
Radhika, B.. "An Empirical Analysis of Tamil Optical Character Recognition." Journal of Innovative Image Processing 4, no. 2 (2022): 115-126
DOI
10.36548/jiip.2022.2.006
Published
18 July, 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.

Keywords

Artificial intelligence optical character recognition tamil language tamil script visual cues

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