PERFORMANCE OF AN OPTIMUM RECEIVER DESIGNED FOR PATTERN-RECOGNITION WITH NONOVERLAPPING TARGET AND SCENE NOISE

The design of an optimum receiver for pattern recognition is based on multiple-alternative hypothesis testing with unknown parameters for de tecting and locating a noisy target or a noise-free target in scene no ise that is spatially nonoverlapping with this target. The optimum rec eiver designed for a noise-free target has the interesting property of detecting, without error, a noise-free target that has unknown illumi nation by using operations that are independent of the scene-noise sta tistics. We investigate the performance of the optimum receiver design ed for nonoverlapping target and scene noise in terms of rotation and scale sensitivity of the input targets and discrimination against simi lar objects. Because it is not possible in practical systems to have a completely noise-free target, we examine how the performance of the o ptimum receiver designed for a noise-free target is affected when ther e is some overlapping noise on the target. The application of the opti mum receiver to binary character recognition is described. Computer si mulation results are provided.