Browsing by Author "Hossain, Sayed Akhter"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    A Potent Model to Recognize Bangla Sign Language Digits Using Convolutional Neural Network
    (Elsevier B.V., 2018-11-19) (Md.), Sanzidul Islam; Mousumi, Sadia Sultana Sharmin; Rabby, AKM Shahariar Azad; Hossain, Sayed Akhter; Abujar, Sheikh
    Hearing impaired people have own language called Sign Language but it is difficult for understanding to general people. Sign language is the basic method of communication for deaf people during their everyday of life. Sign digits are also a major part of sign language. So machine translator is necessary to allow them to communicate with general people. For making their language understandable to general people, computer vision based solutions are well known nowadays. In this research work we aim at constructing a model in deep learning approach to recognize Bangla Sign Language (BdSL) digits. In this approach there used Convolutional Neural Network (CNN) to train particular signs with a respective training dataset (Eshara-Lipi) for acquiring our aim. The model trained and tested with respectively 860 training images and 215 (20%) test images of tent classes of digits. Finally, the training model gained about 95% accuracy at recognition of Bangla sign language digits. This model will contribute for moving one step forward to make BdSL machine translator.
  • No Thumbnail Available
    Item
    Ishara-Lipi: The First Complete MultipurposeOpen Access Dataset of Isolated Characters for Bangla Sign Language
    (IEEE, 2018-12-03) Islam, Md. Sanzidul; Mousumi, Sadia Sultana Sharmin; Jessan, Nazmul A.; Rabby, AKM Shahariar Azad; Hossain, Sayed Akhter
    Collecting hand gesture data for sign language is too much difficult to researchers. Ishara-Lipi, the first complete isolated characters dataset of Bangla Sign Language (BdSL) is conducted in this article. It will help to increase interaction between hearing impaired community and general people. The dataset contains 50 sets of 36 Bangla basic sign characters, collected by the help of different deaf and general volunteers. In Bangla Sign Language sign characters there have 6 vowels and 30 consonants by which they can finger spell all Bangla words. In Ishara-Lipi dataset, after discarding mistakes and preprocessing, 1800 character images of Bangla Sign Language were included in the final state. This dataset could be used to develop computer vision based or any kind of system that approves users to search the meaning of BdSL sign.