Digital system of invariant correlation to position and scale using adaptive ring masks and unidimensional signatures

Digital systems of invariant non-linear correlation to position and scale based on adaptive binary mask of concentric rings and unidimensional signatures are useful tool in pattern recognition. With the modulus of the Fourier transform of the image we obtain the invariance to translation. Using the Scale transformation and adaptive binary ring masks the scale invariant is calculated. The discrimination between objects is done by non-linear correlation of the unidimensional signatures assigned to the problem image and the target. In addition, working with unidimensional signatures reduce the computational time considerably, achieving a step toward the ultimate goal, which is developing a simple digital system that accomplishes recognition in real time at low cost.