Face Geometric Feature Extraction And Query

The face recognition may be applied in many fields such as identity recognition and public security document management. Since nineties, the methods of studying face recognition have emerged in endlessly, including geometry feature based method, characteristic face method, stretch model based method, local feature method and NN. This paper is about the realization of the automatic recognition system on facial images on computer. The system is based on geometry feature method. The system includes pre-processing of facial images, automatic location of the eye, nose and mouth ,and the character abstraction and recognition of face images. The pre-processing includes grey transformation binalization and unification. In binarization, we use the algorithm of the second brim abstraction with which we not only optimize the quality of the images but also finish the binarization. The unification, which realizes the position calibration of the images, includes cropping and zooming. In character abstraction of facial images, we choose fifteen characters which includes the size and position of eyes, nose, mouth, so that the error of the recognition is greatly reduced. The algorithm is simple and have no restrict to the size, shape, light and background of the face.When the face recognition is proceeding,we first calculate the Euclidean distance of the facial image to be recognited and the facial images in database,and get the front eight images of the least error margin resemble,and then calculate the minimum distance of the three points gathering respectively of the left eye(contain the eyebrow),right eye(contain the eyebrow) and mouth between the facial image to be recognited and those eight images.Taking the biggest value of these three minimum distances as Hausdorff distance to match.the target record is the least error margin record.