Data & IT
Pocket
Image Based Sign Language Translation
Huma Tauseef • M Abuzar Fahiem • Saima Farhan
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Recognition of hand gestures associated with different alphabets is a very important research area. The persons with vocal and hearing disabilities will benefit a lot from this research. The communication gap between these and normal persons is filled by providing an aid in the form of a computerized translation of different hand gestures. In this research, a recognition system is being developed to translate hand gestures into Urdu alphabets. A comprehensive classification scheme has been formulated which is core to this recognition system. The accuracy rate of proposed approach is 97.4% which is better than the previous approaches. The book may be very helpful for researchers and academicians working in the domain of image based sign language translation.
- Format: Pocket/Paperback
- ISBN: 9783845409696
- Språk: Engelska
- Antal sidor: 60
- Utgivningsdatum: 2011-07-08
- Förlag: LAP Lambert Academic Publishing