Abstract

The article discusses the capabilities of intelligent biometric systems of human authentication on the example of face recognition in security surveillance systems on a ship using the mathematical apparatus of artificial neural networks (NN). Analyzed traditional approaches in the field of facial recognition and revealed their features. The structure of a neural network facial recognition system using a computer vision system is proposed. Simulation experiments were conducted to test the performance of a trained NN when a sample was presented and the effect of interference on it, as well as the ability to predict changes in the parameters of a person, taking into account human aging factors. The results of the work of the National Assembly showed the prospects of the proposed approach.

中文翻译：

---

用图像预测神经网络人物识别系统的分析

摘要

本文以人工神经网络（NN）的数学仪器为例，讨论了船用安全监控系统中人脸识别示例的智能生物识别系统的功能。分析了面部识别领域的传统方法，并揭示了它们的特征。提出了使用计算机视觉系统的神经网络面部识别系统的结构。进行了模拟实验，以测试训练有素的NN在提供样本时的性能以及干扰对其的影响，以及在考虑到人类衰老因素的情况下预测人的参数变化的能力。国民议会的工作结果表明了拟议方法的前景。