Recognition of indian sign language using hand gestures
Umang Rastogi, Anand Pandey, Vinesh Kumar · 2023
In this study, we present a method for decoding Indian Sign Language alphabets using hand gesture recognition. Our proposed approach consists of four modules: gesture recognition, feature extraction, real-time tracking, and segmentation of hand. Utilizing the Hue, Intensity, Saturation (HSV) color model and the Camshift approach, hands are tracked and segmented. Gestures can be identified using the Genetic Algorithm. For correctly classifying single-handed and double-handed motions, we propose a straightforward, affordable technique. The employment of this method has allowed many of impaired people to interact with normal people.