Signboard Text Translator: A Guide to Tourist.

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Title: Signboard Text Translator: A Guide to Tourist.
Authors: Kavati, Ilaiah1 kavati089@gmail.com, Kumar, G. Kiran1, Kesagani, Sarika1, Rao, K. Srinivasa1
Source: International Journal of Electrical & Computer Engineering (2088-8708). Oct2017, Vol. 7 Issue 5, p2496-2501. 6p.
Subjects: Signage, Translators (Computer programs), Smartphones, Web-based user interfaces, Tourists
Abstract: The travelers face troubles in understanding the signboards which are written in local language. The travelers can rely on smart phone for traveling purposes. Smart phones become most popular in recent years in terms of market value and the number of useful applications to the users. This work intends to build up a web application that can recognize the English content present on signboard pictures captured using a smart phone, translate the content from English to Telugu, and display the translated Telugu text back onto the screen of the phone. Experiments have been conducted on various signboard pictures and the outcomes demonstrate the viability of the proposed approach. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Signboard Text Translator: A Guide to Tourist.
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  Data: <searchLink fieldCode="AR" term="%22Kavati%2C+Ilaiah%22">Kavati, Ilaiah</searchLink><relatesTo>1</relatesTo><i> kavati089@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+G%2E+Kiran%22">Kumar, G. Kiran</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kesagani%2C+Sarika%22">Kesagani, Sarika</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Rao%2C+K%2E+Srinivasa%22">Rao, K. Srinivasa</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Oct2017, Vol. 7 Issue 5, p2496-2501. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Signage%22">Signage</searchLink><br /><searchLink fieldCode="DE" term="%22Translators+%28Computer+programs%29%22">Translators (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Smartphones%22">Smartphones</searchLink><br /><searchLink fieldCode="DE" term="%22Web-based+user+interfaces%22">Web-based user interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Tourists%22">Tourists</searchLink>
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  Label: Abstract
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  Data: The travelers face troubles in understanding the signboards which are written in local language. The travelers can rely on smart phone for traveling purposes. Smart phones become most popular in recent years in terms of market value and the number of useful applications to the users. This work intends to build up a web application that can recognize the English content present on signboard pictures captured using a smart phone, translate the content from English to Telugu, and display the translated Telugu text back onto the screen of the phone. Experiments have been conducted on various signboard pictures and the outcomes demonstrate the viability of the proposed approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.11591/ijece.v7i5.pp2496-2501
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      – Code: eng
        Text: English
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      – SubjectFull: Signage
        Type: general
      – SubjectFull: Translators (Computer programs)
        Type: general
      – SubjectFull: Smartphones
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      – SubjectFull: Web-based user interfaces
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      – SubjectFull: Tourists
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              M: 10
              Text: Oct2017
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              Y: 2017
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