AIR CANVAS APPLICATION USING OPENCV AND NUMPY IN PYTHON

Abstract

On-air writing has become one of the most attractive and challenging areas in the field of image processing and pattern recognition in recent years. It contributes to the development of automation processes and can improve interpersonal and machine interaction across multiple systems. Many research projects focus on new techniques and techniques that can reduce processing time while providing high accuracy of recognition. Tracking an object is considered an important function within the field of Computer Vision. The invention of fast computers, the availability of affordable and high-quality video cameras and the requirements of automated video analysis have provided prominence in tracking techniques. This project focuses on developing a motion-to-text converter that can serve as a software for smart portable writing tools. This project is a touching journalist from time to time. It will use a computer view to track your fingerprint.