Hand Gesture Recognition using skeleton of Hand and Hausdroff Distance

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P.Swarna Latha
M.Rajasekhara Babu K.Siva Rajesh Reddy


This paper discusses the use of image processing and computer vision concepts in the interpretation of hand gestures. Gestures are non
verbal communication .By using gestures we can convey useful information or instructions to the machine (computer) .This is known as Human
machine interaction (Human computer interaction(HCI).Hand gestures are an ideal way of exchanging information between human and computer,
robots, or any other device . In this paper we use the skeleton of the hand instead of the entire hand, because of its robust nature against translation,
rotation and scaling. Skeleton is computed for each and every hand gesture and superimposed on a single image called as Dynamic Signature of the
particular gesture type. Gesture is recognized by using the Hausdroff distance measure by comparing the current Dynamic Signature of the particular
gesture with the gesture Alphabet set.



Keywords: Static, Dynamic Gesture; Skeleton; Local Orientation Histogram (LOH); Hausdroff distance.


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