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Survey: Various Techniques to Detect and Classify Hand Oriented Gesture in Digital Image Processing

Author(s):

Fatima Sufi , CHANDIGARH ENGINEERING COLLEGE,LANDRAN,MOHALI,PUNJAB,INDIA; Jaskiran Kaur, CHANDIGARH ENGENEERING COLLEGE,LANDRAN,MOHALI,PUNJAB,INDIA

Keywords:

Hand Gesture Recognition, Human Machine Interaction, Intelligence Approaches and Artificial Neural Network

Abstract

Hand Sign Recognition is the usual way of Human Machine communication and today many researchers are working on various applications to make connections more easy, natural and convenient without wearing any extra device. The central aim of hand gesture appreciation is to identify the gestures and classify them accurately in order to interact with the environment in the most convenient and efficient way. In this paper we are focussing on the work completed in the area of hand gesture recognition based on the intellectual approaches counting soft computing based methods, neural network, uncertain logic, genetic algorithm etc. This survey paper suggests a real time application and novel approaches for a hand-pose approximation that can be used for vision-based human interfaces. Finally the evaluation of various methods is also presented.

Other Details

Paper ID: IJSRDV4I30189
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 110-112

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