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  • 标题:Translation of Recognized Text from Images
  • 本地全文:下载
  • 作者:Vasudev T ; Chaithanya K N ; Madhushree R
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2020
  • 卷号:2
  • 期号:3
  • 页码:57-62
  • DOI:10.35629/5252-02034247
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:This paper focuseson development of a mobile application on Android platform. Text in scene images as well as document images can provide valuable information for variety of applications. Text recognition in images is a challenging task because of its inherent varying patterns and complex background. The proposed work consists of two stages. The first stage attempts to recognize the text from images through tesseract algorithm and the second stage performs translation using Google API. In present situation, people keep travelling to different geographical places for one are the other reasons and are facing problems to understand/communicate in different languages. For example, in India, if a person from a state movesto other state, he/she does not understand the other language. During such times the proposed application will be of very much use. The state of art workson separate applications for each module viacapture image through camera, Optical Character Reader (OCR) for recognition and translator. But normally, users expect anintegrated application that integrates all the three modules on an essential device such as mobile.Such requirement motivated us to proposethe idea of developing an application with an idea to translate the recognized text in a language to the required language. The performance of the proposed system shows encouraging results to improve the model for better results.
  • 关键词:image;text recognition;translation;Tesseract algorithm;Google API
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