用于实时人脸识别的光电混合自动识别系统

研制了一种用于实时人脸识别的光电混合自动识别系统，包括特征提取、光照及几何归一化、编码、光学识别和判决几个部分。以计算机为控制中心，CCD摄像机实时获取待识别人脸图像后，由计算机做预处理工作，包括用灰度直方图均衡化做光照归一化，自动提取两个内眼角和嘴的中心三个参考点，利用仿射变换进行几何归一化并进行广义互补编码，以实现数学形态学击中击不中变换；编码图像送入基于非相干光相关器的光学处理器做光学运算；最后对光学识别结果进行判决，从图像库中找出一个或几个与待识别目标相似的人脸图像。给出了实验结果。

An Optoelectronic Automatic Recognition System for Real-time Face Images

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.