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

fYear

2009

fDate

15-17 July 2009

Firstpage

213

Lastpage

217

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Visualisation, 2009. VIZ '09. Second International Conference in

Conference_Location

Barcelona

Print_ISBN

978-0-7695-3734-4

Type

conf

DOI

10.1109/VIZ.2009.11

Filename

5230748