• DocumentCode
    3579214
  • Title

    Multilingual number image interpreter

  • Author

    Upadhye, Vinod ; Shrawankar, Urmila

  • Author_Institution
    G. H. Raisoni College of Engineering, Nagpur (MS), India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    India is multilingual country, in India people speak different language, and they also used different ways to write number text. Due to lack of language knowledge, people are not able to read number text from one language to another language. This proposed method solves the problem of reading number text from one language to another language. It is part of Natural Language Processing (NLP). Optical Character is used for separate out number text from image. Perform translation on number text by using rule based approach, so that it will convert number text from one regional language to another regional language. By using speech synthesis, it will give number text in voice form
  • Keywords
    Biological neural networks; Feeds; Image segmentation; Indexes; Neurons; Speech; Speech synthesis; NLP; Rule based approach; Speech Synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238425
  • Filename
    7238425