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  Published Paper Details:

  Paper Title

  Authors

  Gaurav Saini,  Gaurav Mandhyan,  Er Akansha Singh

  Keywords

Machine Learning, Augmented Reality, Neural Networks.

  Abstract


The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it. Research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different hand gestures.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2205885

  Paper ID - 220785

  Page Number(s) - h541-h545

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Gaurav Saini,  Gaurav Mandhyan,  Er Akansha Singh,   "HAND TRACKING SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.h541-h545, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205885.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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