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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>A Translator for Indian Sign Boards to English using Tesseract and SEQ2SEQ Model</text>
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              <text>seq2seq model and Tamil OCR.; tesseract OCR engine</text>
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              <text>Language translator for Indian language to English have been developed and it have proven to a challenging domain due to large combination of character in Indic scripts such as Tamil, Kannada and Hindi. In this paper we propose a system which captures Indian printed character and translates it into English, we have discussed the various method and machine learning model that was used to build this system with an accuracy of 87%.   2021 IEEE.</text>
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              <text>Sundara Pandiyan S.; Kelvin C.</text>
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              <text>2021 International Conference on Simulation, Automation and Smart Manufacturing, SASM 2021</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/SASM51857.2021.9841215" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/SASM51857.2021.9841215&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136268071&amp;amp;doi=10.1109%2FSASM51857.2021.9841215&amp;amp;partnerID=40&amp;amp;md5=88ba1784b04dbc59eb59bb6a353bd499" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136268071&amp;amp;doi=10.1109%2fSASM51857.2021.9841215&amp;amp;partnerID=40&amp;amp;md5=88ba1784b04dbc59eb59bb6a353bd499&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166540357-3</text>
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              <text>Sundara Pandiyan S., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Kelvin C., Lg Soft India Pvt. Ltd, Bangalore, India</text>
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