Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Saleem Ata"

Now showing 1 - 2 of 2
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    A vision based approach for Pakistan sign language alphabets recognition
    (Pensee Journal, 2014) Nabeel Sabir Khan; Adnan Shahzada; Saleem Ata; Adnan Abid; Yaser Daanial khan; Muhammad Shoaib Farooq; Muhammad Tahir Mushtaq; Inayat Khan
    There is a persistent communication barrierbetween the deaf and normal community becausea normal person has no or limited fluency with thesign language. A person with hear-impairment hasto express himself via interpreters or text writing.This inability to communicate effectively between thetwo groups affects their interpersonal relationships.There are about 0.24 million Pakistanis who are eitherdeaf or mute and they communicate through PakistanSign Language(PSL). In this research work a systemfor recognizing hand gestures for Pakistan Sign Languagealphabets in unimpeded environment is proposed. A digitalcamera is used to acquire PSL alphabet’s images withrandom background. These images are preprocessedfor hand detection using skin classification filter. Thesystem uses discrete wavelet transform (DWT) for featureextraction.Artificial neural network(ANN) withbackpropagation learning algorithm is employed torecognize the sign feature vectors. The dataset contains500 samples of Pakistan Sign Language alphabets withvarious background environments. The experimentsshow that the classification accuracy of the proposedsystem for the selected PSL alphabets is 86.40%.
  • Loading...
    Thumbnail Image
    Item
    Web site for course registration and assessment
    (UMT, Lahore, 2000) Saleem Ata; Muhammad Mudassar Anwar; Naeem Ahmed
    The objectives, which stand behind the development of this web site, are following: In addition, to register a course on line, a participant can duly be assessed with the help of this web site. After a record of the participant is validated he is allowed to log in and access different course material and tutorials on the web and can assess him anytime when he is satisfied that now he can give the exam. This project is initialized on the recommendation of Rector UMAT and the very knowledgeable Associate Dean (FIT) Col. Javaid Iqbal Zahid (Retd), who really cares for the students and is looking forward for every opportunity for the benefit of the participants.The objectives, which stand behind the development of this web site, are following: In addition, to register a course on line, a participant can duly be assessed with the help of this web site. After a record of the participant is validated he is allowed to log in and access different course material and tutorials on the web and can assess him anytime when he is satisfied that now he can give the exam. This project is initialized on the recommendation of Rector UMAT and the very knowledgeable Associate Dean (FIT) Col. Javaid Iqbal Zahid (Retd), who really cares for the students and is looking forward for every opportunity for the benefit of the participants.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback