Two brief arguments are made for why handwriting recognition is important. Existing approaches and my approach are summarized along with the stated goals of my project. The full handwriting recognition pipeline of scanning, segmenting, and recognition is examined and described thoroughly in order. Feed forward Artificial Neural Networks are explained on a low level along with their weaknesses a...

In order to maintain safe flying environments and avoid disastrous midair collisions, the U.S. Federal Aviation Administration mandates that pilots must ”See and Avoid” other aircraft. This work develops a See-And-Avoid SAA) system for autonomous Unmanned Aircraft Systems (UAS) and present a novel approach to implement SAA capabilities using simulated cockpit video and computer vision algorithm...

Edge detection is often used in image processing to find the edge boundaries of objects and this important for selecting edges parts. The study counts coins an image, so that it can easily pass through human eye but not by a computer. In computer system, necessary provide programs test data read count like human. purpose using Canny Gaussian filtering methods. images are form *jpg tested Visual...

Detection and tracking of face and facial features are the fundamental steps for many applications like Biometrics, human computer interface, video surveillance and expression analysis This paper addresses the challenges in current techniques and presents an adaptive-profile accurate method for facial feature detection and real time tracking. Face and facial features are detected by improved Ac...

ACGI respects the Application Programming Interface whilst using genetic programming to optimise the implementation of the API. It reduces the scope for improvement but it may smooth the path to GI acceptance because the programmer’s code remains unaffected; only library code is modified. We applied ACGI to C++ software for the stateof-the-art OpenCV SEEDS superPixels image segmentation algorit...