Detection of Urdu Sign Language using Harr Algorithms
Syed Asif Ali

Dr. Syed Asif Ali, Associate Professor, Department of Computer Science, SMI University, Karachi, Pakistan.
Manuscript received on May 11, 2013. | Revised Manuscript Received on May 15, 2013. | Manuscript published on May 20, 2013. | PP: 50-54 | Volume-1, Issue-6, May 2013.
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Abstract: This research focuses on detecting process of Urdu sign language. Sign language is a language used in culture of deaf people. There are two approaches used in the development of this work, the first one is text to sign conversion and the other is sign to text conversion. In the first strategy, ‘text to sign’ involves a text input from a text box and the output will be displayed in image form on the screen. In the second strategy, ‘sign to text’ involves a sign as an input through webcam and its output will be in text form which will actually stand for the actual sign. The purpose of developing this project is to reduce the communication gap between the normal and physically challenged persons such as deaf people as they are also part our community.
Keywords: Sign Language, Urdu Sign Language, Sign Detection, Haar Algorithms