Image Based Sign Language Translation - Tauseef, Huma;Fahiem, M. Abuzar;Farhan, Saima
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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%…mehr

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Produktbeschreibung
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.
Autorenporträt
Huma Tauseef, MS:, Muhammad Abuzar Fahiem, PhD:, and Saima Farhan, MS: are working in the Department of Computer Science, Lahore College for Women University, Lahore, Pakistan. They are supervising various development projects and research theses at under-graduate and graduate levels. Their research interests are in the domain of image processing.