An image matching and object recognition system using webcam robot

Finding relation among multiple images is a core and vital step in the field of computer vision. This can be achieved if we can track correspondence over consecutive frames in an image and then matching among them can be identified. This paper proposes a precise approach for image matching in real time scenario and also in the field of ROBOTICS. We are constructing an application based Image matching model that can detect images that are exactly the same, as well as images that have been edited in some ways. Implementation of this Image Matching and object recognition system is based on tracking an object, calculating its feature Points, and classification with the help of trained Data Sets. The system is capable to perform matching of images, both automatically and manually. On the other hand, to operate the proposed system manually, user itself takes the images of an object or something, and will store it in database. After that system will through some steps, and image matching will be performed. Black & White point calculation of an image, Chamfer matching Algorithm, 3-4 Distance Transformation with canny edge detector is applied in the application which is well suited for calculating the pixel values. The whole system is reliable and capable to match the two images in Digital Image Processing.