Hand Gesture Recognition to Speech for Dumb Prepole Using AI

Authors

  • P. Bhavya
  • D. Bright Anand
  • K. Logu

Abstract

Our project in the main addresses to facilitate deaf and dumb person’s life vogue. Dumb and deaf folks communicate with people throughout the globe victimization hand gestures. However people face difficulties in understanding the gestures language. To beat this real time problems system is developed. This is a user friendly, value effective system that reduces communication gap between dumb and deaf with normal folks. The projected system captures a hand gestures victimization camera. Image process of capture is finished. The projected system having four modules like preprocessing and hand segmentation, feature extraction, sign recognition and sign to text and voice speech. Segmentation is finished by victimization background subtraction algorithmic program. Finding contour space, umbel-like hull, hull area, solidity. Additionally notice the angle between two fingers and ratio of hand.  

Downloads

Published

2020-03-15

Issue

Section

Articles