%0 Journal Article
	%A Aleem Khalid Alvi and  M. Yousuf Bin Azhar and  Mehmood Usman and  Suleman Mumtaz and  Sameer Rafiq and  RaziUr Rehman and  Israr Ahmed
	%D 2007
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 3, 2007
	%T Pakistan Sign Language Recognition Using Statistical Template Matching
	%U https://publications.waset.org/pdf/15125
	%V 3
	%X Sign language recognition has been a topic of research since the first data glove was developed. Many researchers have attempted to recognize sign language through various techniques. However none of them have ventured into the area of Pakistan Sign Language (PSL). The Boltay Haath project aims at recognizing PSL gestures using Statistical Template Matching. The primary input device is the DataGlove5 developed by 5DT. Alternative approaches use camera-based recognition which, being sensitive to environmental changes are not always a good choice.This paper explains the use of Statistical Template Matching for gesture recognition in Boltay Haath. The system recognizes one handed alphabet signs from PSL.
	%P 765 - 768