Face Based Image Analysis Research Than On Technology

Face matching research based on image analysis issues to the ATM machine environment for automatic monitoring, alarm and authentication by two steps to achieve the above functions which are face abnormalities judgments and face matching.As frontal face include more features, and easy to extract, this paper mainly studies how to match the frontal face. Based on researching and learning the previous theory and methods, a face matching algorithm with block based on the weighted region is presented.What had been mainly done in this paper is as follows:1. Adaboost algorithm have been used to build eye detection and mouth detection classifier, furthermore, some optimized methods and improved measures about the number of rectangular features in the training process are presented. We determine whether there is abnormal situation in the face image by detecting whether the absence of eye and mouth.2. Some correction methods are presented for the remaining normal images which have some flaws. Moreover, all defective face images have been corrected, which provides good material for face matching.3. A face matching algorithm with block based on the weighted region is presented. Firstly, facial feature points are labeled automatically by using Active Shape Models (ASM). According to facial prior knowledge, the features of the facial geometry information are stable. Then the feature points are divided into five regions, and facial personality features are constructed, and the weight of each region is analyzed, and face matching with block based on the weighted region have been carry on by these steps. At last, this method has better performance for frontal face matching demonstrated through experiments.