Author(s): Peter, C. Bage, S., & Sevugan, P.
Hand gesture recognition is said to be the future and an innovative way to communicate with modern technology. It has the ability to speak with the technology through hand signs. The hand gesture will revolutionize the use of such, making hardware devices that are accustomed to control the computer completely obsolete. To recognize and create a platform where we are ready to communicate with the machine we will be making use of the CNN model with ASL alphabets. A technique called “contour detection” will be used which can get the contours of our hand and map it with the current pictures in our dataset. The project includes a mixture of a recognized dataset and a self-proclaimed dataset. This project uses deep learning concepts along with image processing implemented using OpenCV , tensorflow and CNN model.