Hand Calculator System using Convolutional Neural Networks

  • Jhansi* D
  • et al.
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Abstract

Computer vision has great attention in recent years as it identifies and similarly processes images that human vision does and they provide suitable output. In computer vision, hand gesture recognition is one of the important and fundamental problems. The hand gesture recognition system has gained significant importance in the recent few years because of its manifoldness applications. This paper aims to give a new approach for vision-based, fast and real time hand gesture recognition, a new light that can be used in many HCI applications. The proposed algorithm first detects and segments the hand region and by using our innovative approach, it finds the fingers and classifies the gesture. The proposed algorithm is invariant to orientation, hand position or distance from the webcam. Based on this proposed algorithm we have progressively developed a gesture-based mathematical tool (calculator) as a practical application.

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Jhansi*, Dr. Y., & Harish, U. (2020). Hand Calculator System using Convolutional Neural Networks. International Journal of Recent Technology and Engineering (IJRTE), 8(5), 114–118. https://doi.org/10.35940/ijrte.d9106.018520

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