Abstract: Hand gestures recognition provides a natural way to interact and communicate with machines of different kinds. The process is known and referred to as static hand gesture recognition in which images of a hand gesture are stored in the database and analyzed in order to determine the meaning of the hand gesture. The implementation has been done using Scale Invariant Feature Transform (SIFT), Principal Component Analysis(PCA) which present an interface used to recognize hand gestures from the American Sign Language.
Keywords: Distance ratio, Threshold, convolution, Gaussian Filters, Eigen Vector.
Title: Analysis and Implementation of Hand Gesture Recognition System
Author: Mrs. Poonam Verma, Utkarsh Mor, Puneet Singh, Arpan Khandelwal
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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