A SOLUTION TO SYSTEM ACCESS PROBLEM BASED ON CONVOLUTIONAL NEURAL NETWORK APPROACH

Abstract

The algorithm based on the principal components of the images as informative features extracting and convolutional neural network as a classifier is proposed. Experiments have shown partial invariance to the rotation, scaling and deformation, achieved through a hierarchical extraction of informative features. The resulting percentage of correct recognition rate of persons is up to 99%.

Keywords

• нейронная сеть свертки
• анализ главных компонент
• идентификация личности
• биометрия
• разграничение доступа