Hand Gestured Real Time Paint Tool - Box

The paper suggests about with using of real time color segmentation, filtration and feature selection process to draw the patterns with major use of image processing i.e., Drawing the different shapes using the double tap of fingers, open the hand and change the color of given shape.so basically Vision-based human–computer connection could be achieved by determining separated primary color areas. Still, one of the challenges of this hand gesture target following is that color distribution would be change in small lighting objects and so the hand recognition is typical to detect.This paper presents analyses and real time example of color-based image segmentation, color based image filtration, feature selection, hand recognition and using all this draw the different shapes in real time world in front of the screen. The observations show that RGB are the default color used for segmentation proceeding.Meanwhile Real time video is captured from the camera and the video is transformed into number of real time frame images.This algorithm should monitor and process every frame image from the real-time video and it will detect the hand gesture and according to those hand gesture, different shapes are drawn. Camera is used as an input. In the coding area here image processing is done through Open-CV and python for feature selection and feature recognition. Keywords—Dynamic Image Processing; Image Recognition; Image Analysis; Feature Extraction; Image Segmentation; OpenCV; Python