Handwritten Digit Recognition using Gentic Algorithm

Image processing is a technique that can identify shades, colors and relationships that cannot be perceived by the human eye. It is used to solve identification problems such as in forensic medicine or in creating weather maps from satellite pictures. It deals with images in bitmapped graphics format that has been scanned or captured with digital cameras. Image processing is a form of signal processing and the input is an image, such as a photograph or video frame. The output of image processing may be either an image or a set of characteristics or parameters related to the image.Computer vision is the science and technology of machines that the machine is able to extract information from an image that is necessary to solve some task. As a scientific discipline computer vision is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms such as video sequences, views from multiple cameras or multi-dimensional data from a medical scanner. Applications of computer vision include systems for controlling processes, detecting events, organizing information, modeling objects or environments and interaction. Genetic Algorithm (GA) was introduced as a computational analogy of adaptive systems, Genetic Algorithm is a population-based optimization tool it could be implemented and applied easily to solve various function optimization problems. Handwritten input gets from the user. The handwritten digits are recognized with the help of GA, applying selection, reproduction, mutation and crossover methods. The main strength of GA is its fast convergence, it compares favorably with many global optimization.