Комбинированный метод распознавания лица

Abstract

Currently, face recognition is one of the most important achievements of biometrics, which allows using algorithms to determine the character of a person by his physiological characteristics. Research and analysis of existing methods for face recognition helps, to recognize the positive and negative aspects of each of the methods provided, on the basis of which an effective method of pattern recognition is created. The fundamental idea of this article is to improve the consolidated face recognition technique using the OpenCV specialized vision library and the Viola-Jones calculation, with the help of which a face from a video stream is correlated with certain 68 points of the face. Additionally, a calculation is considered to naturally alter the image difference in order to productively identify the structure of the face. In addition, in the work, it was possible to improve the quality of object recognition, reduce the degree of false confirmation, reduce the time for preparing the classifier and image processing.