Hand Calculator System using Convolutional Neural Networks

  • Jhansi* D
  • et al.
Citations of this article
Mendeley users who have this article in their library.
Get full text


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.




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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free