Title :
Recognition and Translation of Hand Gestures to Urdu Alphabets Using a Geometrical Classification
Author :
Tauseef, Huma ; Fahiem, Muhammad Abuzar ; Farhan, Saima
Author_Institution :
Lahore Coll. for Women Univ., Lahore, Pakistan
Abstract :
Recognition of hand gestures associated with different alphabets is a very important research area. The persons with vocal and hearing disabilities may benefit a lot from this research. The communication gap between these and normal persons can be filled by providing an aid in the form of a computerized translation of different hand gestures. In this paper, we have developed a recognition system to translate hand gestures into Urdu alphabets. We have formulated a comprehensive classification scheme which is core to this recognition system. The accuracy rate of our approach is 97.4% which is better than the previous approaches.
Keywords :
gesture recognition; pattern classification; Urdu alphabet; computerized translation; geometrical classification; hand gesture recognition; Auditory system; Colored noise; Educational institutions; Handicapped aids; History; Image segmentation; Machine vision; Natural languages; Target recognition; Visualization; Classification; Color segmentation; Geometrical features; Hand gestures; Region growing;
Conference_Titel :
Visualisation, 2009. VIZ '09. Second International Conference in
Conference_Location :
Barcelona
Print_ISBN :
978-0-7695-3734-4
DOI :
10.1109/VIZ.2009.11
