基于ANN和AdaBoost的有效人脸识别及分类训练改进

2021 International Conference on System, Computation, Automation and Networking (ICSCAN) Pub Date : 2021-07-30 DOI:10.1109/ICSCAN53069.2021.9526499

Priyanshu Tamrakar, Hemant Amhia

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引用次数: 2

摘要

本文设计了一种现代人脸重组技术。人脸重组是一种利用人工智能进行人脸识别的方法。现在提出的算法是利用MATLAB 2015a软件中的图像处理工具箱来实现的。本文利用人工神经网络和Adaboost算法增强图像质量和重组率。本文的结果和仿真部分提到了与以往研究文章相比的改进结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ANN and AdaBoost Based Effective Face Recognition and Improvement of Classification Training

In this paper to design a modern technique of face reorganization. Face reorganization is approach to identification of human face by using artificial intelligence. Now proposed algorithm to implementation of MATLAB 2015a software using Image processing toolbox. In this paper enhancement of image quality and reorganization rate using ANN and Adaboost algorithm. This paper result and simulation section mentioned improvement result as compare to previous research articles.

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来源期刊

2021 International Conference on System, Computation, Automation and Networking (ICSCAN)

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