IDEAS home Printed from https://ideas.repec.org/a/igg/jfsa00/v4y2015i4p1-14.html
   My bibliography  Save this article

Sign Language Recognition for Bengali Characters

Author

Listed:
  • Tanzila Ferdous Ayshee

    (Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh)

  • Sadia Afrin Raka

    (Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh)

  • Quazi Ridwan Hasib

    (Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh)

  • Rashedur M. Rahman

    (Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh)

  • Md. Hossain

    (Electrical and Computer Engineering Department, North South University, Dhaka, Bangladesh)

Abstract

Sign language is the primary means of communication for people having speaking and hearing impairment. This language uses a system of manual, facial, and other body movements as the means of communication, as opposed to acoustically conveyed sound patterns. This paper uses image processing and fuzzy logic to develop an intelligent system to recognize Bengali Sign Language. The proposed system works in two phases. In the first phase, the fuzzification methods are defined. Then in the next phase, the raw images are processed to identify the fuzzy rules. A detailed implementation procedure of the proposed system is demonstrated by describing the recognition process of four Bengali characters.

Suggested Citation

  • Tanzila Ferdous Ayshee & Sadia Afrin Raka & Quazi Ridwan Hasib & Rashedur M. Rahman & Md. Hossain, 2015. "Sign Language Recognition for Bengali Characters," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 4(4), pages 1-14, October.
    • Handle: RePEc:igg:jfsa00:v:4:y:2015:i:4:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.2015100101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jfsa00:v:4:y:2015:i:4:p:1-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.