Author : Mrs.Anjali R.Patil 1
Date of Publication :7th January 2016
Abstract: Hand gesture recognition is a vital task as its application ranges from human-machine interface to sign language recognition. This paper present the empirical results of static hand gesture detection based on well known technique used for shape detection using Fourier Descriptors (FDs). Fourier descriptors are important features for the classification of two-dimensional connected shapes. Further the classification is done using multiclass Support Vector Machine (SVM). The performance is evaluated on Sebstian Marcel Database and qualified to provide average classification accuracy of 93%.
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