An optoelectronic automatic real-time human face recognition system, which includes a feature point extractor, a normalization algorithm, an encoding module, an optical recognizer based on hit/ miss transform and an incoherent correlator, and a postprocessing module is presented in this paper. When a real-time face image is captured, three reference points including two internal corners of both eyes and the mouth center, are extracted automatically for normalizing use. Then the face image is normalized to a fixed scale and posture by using the affine transform. The normalized image will then be encoded to an extensive complementary encoding image and be sent to an incoherent correlator based optical processor to be recognized. Experimental results are given.