Abstract
Indian Sign Language (ISL) consists of static as well as dynamic hand gestures for communication among deaf and dumb persons. Most of the ISL gestures are produced using both hands. A video database is created and utilized which contains several videos, for a large number of signs. Direction histogram is the feature used for classification due to its appeal for illumination and orientation invariance. Two different approaches utilized for recognition are Euclidean distance and K-nearest neighbor metrics.
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Nandy, A., Prasad, J.S., Mondal, S., Chakraborty, P., Nandi, G.C. (2010). Recognition of Isolated Indian Sign Language Gesture in Real Time. In: Das, V.V., et al. Information Processing and Management. BAIP 2010. Communications in Computer and Information Science, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12214-9_18
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DOI: https://doi.org/10.1007/978-3-642-12214-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12213-2
Online ISBN: 978-3-642-12214-9
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