An Ensemble Approach To Face Recognition In Access Control Systems

Abstract

The article proposes a method for recognizing faces in mobile devices, based on an ensemble approach to solving the problem of pattern recognition, which ensures high accuracy of results. According to this approach, the basic algorithm is decomposed into two operators: a recognition operator and a decision rule. The recognition operator calculates estimates of the proximity of the tested object to the given classes. The decision rule, based on these estimates, determines whether the tested object belongs to one of the given classes. The ensemble of recognizing operators is formed in the form of a linear polynomial. The values of the polynomial parameters are calculated based on the solution of the multiparameter optimization problem. Experimental studies were carried out using open databases of facial images. When conducting experiments, it was assumed that two options for using basic algorithms would be implemented: separate and ensemble. The accuracy of recognizing objects in the control sample using an ensemble of recognition operators turned out to be higher compared to the accuracy of the best basic recognition algorithm. The proposed face recognition method can be used in mobile devices, in particular, to verify users when remotely accessing information resources that limited access status.