The biometric-based module of smart grid system

International Scientific and Research Conference on Topical Issues in Aeronautics and Astronautics (dedicated to the 55th anniversary from the foundation of SibSAU)

航空航天工程

Engel, E.^1 ; Kovalev, I.V.^2 ; Ermoshkina, A.^1

Katanov State University of Khakassia, Abakan, Russia^1

Siberian State Aerospace University, Krasnoyarsk, Russia^2

关键词: Competitive performance;    Face localization;    Module-base;    Near-real time;    Preliminary processing;    Recognition speed;    Smart grid systems;    Yale face database;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/94/1/012007/pdf
DOI  :  10.1088/1757-899X/94/1/012007

学科分类：航空航天科学

来源: IOP

【 摘 要 】

Within Smart Grid concept the flexible biometric-based module base on Principal Component Analysis (PCA) and selective Neural Network is developed. The formation of the selective Neural Network the biometric-based module uses the method which includes three main stages: preliminary processing of the image, face localization and face recognition. Experiments on the Yale face database show that (i) selective Neural Network exhibits promising classification capability for face detection, recognition problems; and (ii) the proposed biometric-based module achieves near real-time face detection, recognition speed and the competitive performance, as compared to some existing subspaces-based methods.