The recognition algorithm based on geometry texture character includes pattern matching, estimation function, and
determination tree. The advantage of above algorithms is easy to be programmed and realized by computer. However,
the recognizing operation consumes the mass of system source, which lead to the difficult to assure the good recognizing
accuracy under the high recognizing speed. Optical correlation processing system transmits information by photons and
operates by photo-electronic device, and realizes the target recognition by optical refraction, interference, and diffraction.
Compared with traditional computer image processing techniques, optical correlation system offer primarily two types of
benefits. On the one hand, optical correlation systems have an inherent capability for parallel processing, which can
transmit rapidly mass information. On the other hand, it changes the complex images processing problem into spot
recognizing in output plane. The correlation peak of high gray value appeared in the correlation plane can be used to the
proof to tell target from many kinds noises. The analysis in paper to how to make the complex matching filter, how to
determinate the truly correlation peak from others signal in correlation plane rely on neural nets technology could be
helpful to the study of optical correlation system used to the field of image recognition.