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Hand Gesture Recognition Using OpenCv and Python

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • V. Harini

    (SRM IST, Department of CSE)

  • V. Prahelika

    (SRM IST, Department of CSE)

  • I. Sneka

    (SRM IST, Department of CSE)

  • P. Adlene Ebenezer

    (SRM IST, Department of CSE)

Abstract

Hand gesture recognition is one of the most viable and popular solution for improving human computer interaction. In the recent years it has become very popular due to its use in gaming devices like Xbox, PS4, and other devices like laptops, smart phones, etc. Hand gesture recognition has usage in various applications like medicine, accessibility support etc. In this paper, we would like to propose on how to develop a hand gesture recognition simulation using OpenCV and python 2.7. Histogram based approach is used to separate out the hand from the background image. Background cancellation techniques are used to produce optimum results. The detector hand is then processed and modelled by finding contours and convex hull to recognize finger and palm positions and dimensions. Finally a gesture object is created from the input which is then used to recognise the count of fingers.

Suggested Citation

  • V. Harini & V. Prahelika & I. Sneka & P. Adlene Ebenezer, 2020. "Hand Gesture Recognition Using OpenCv and Python," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1711-1719, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_174
    DOI: 10.1007/978-3-030-41862-5_174
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