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A technical review – Various Approaches to Develop Vision based Hand Gesture Recognition Algorithm


Author(s):

Pindaria Savan Jethabhai , L D College of Engineering, Ahmedabad; Prof. Arun Nandurbarkar, L D College of Engineering, Ahmedabad

Keywords:

Feature Extraction, Hand Gestures, Hand Tracking, Pre-processing, Segmentation

Abstract:

Hand gesture recognition has wide range of applications in many areas. The development of Gesture recognition algorithm is the witness of the human efforts aiming to communicate with electronic gadgets. In this paper, we have presented a review of various approaches for the hand gestures recognition, gestures representing the American Sign Language with an aim of simplifying communication with speech disabled people. All the approaches have hand tracking and feature extraction as two common operations. The features used are basically shape based assuming that the shape of human hand is same for all human being. The main features used can be characterized in two types: appearance based features and the cross correlation based features. We have tried to deduce the technique or flow which can give a better result in terms of execution time and efficiency.


Other Details:

Manuscript Id :IJSTEV2I8011
Published in :Volume : 2, Issue : 8
Publication Date: 01/03/2016
Page(s): 52-55
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