Many real-world pattern recognition problems entail location of an image within a very cluttered environment. Hybrid processing can be valuable in such a situation by using the high-speed parallelism inherent in optical processing for the feature extraction step, since feature extraction is often the most time-consuming operation to perform digitally. The work reported here takes such an approach for finding addresses on cluttered mail. Two optical systems, a coherent spatial filtering system and an incoherent correlation system, are each discussed for use in combination with digital image processing techniques. Examples of mail processed and statistical results are presented.