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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

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.
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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.