An Empirical Analysis of Tamil Optical Character Recognition
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.
@article{radhika2022,
author = {B. Radhika},
title = {{An Empirical Analysis of Tamil Optical Character Recognition}},
journal = {Journal of Innovative Image Processing},
volume = {4},
number = {2},
pages = {115-126},
year = {2022},
publisher = {IRO Journals},
doi = {10.36548/jiip.2022.2.006},
url = {https://doi.org/10.36548/jiip.2022.2.006}
}
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