A discrimination-oriented correlated characters fusion recognition system of an image belongs to the technical field of telecommunication, comprising the following steps: first, determining a projection matrix via an iterative process according to a training image; second, respectively projecting the training image and test image to a characteristic space by utilizing the projection matrix, extracting the training characteristic and test characteristic and then carrying out parallel fusion respectively on the characteristics to form a new characteristic; at last, extracting characteristics with more discriminability by utilizing linear discriminant analysis method and adopting minimum distance classifier, thus identifying the category to which the test image belongs. The system can more naturally depict the relation between row vectors and the relation between column vectors of an image matrix; the extracted characteristics can more intensively reflect the image information; further discrimination-oriented processing can extract characteristics with more discriminability; and the system can improve not only processing speed but also recognition performance by being applied to the image recognition.