Face Recognition Algorithm Comparison based on Backpropagation Neural Network

Author:

Li Pan,Zhang Qian

Abstract

Abstract Face recognition is a hot research direction in the field of computer in recent years. Due to the constant update and progress of computer hardware technology and software algorithm, face recognition technology is becoming more and more perfect, and face recognition technology starts to appear in different fields. Because of the high security of face recognition, we can design a face recognition access control system based on backpropagation neural network. This paper mainly compare three different face recognition algorithms based on matlab and test the accuracy of these algorithms.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference8 articles.

1. Design and Application of Face Recognition Algorithm Based on Improved Backpropagation Neural Network [J];Huang;Revue d’Intelligence Artificielle,2019

2. Prediction of Gas Emission by BP Neural Network Based On Wavelet Analysis [J];Guo;IOP Conference Series: Earth and Environmental Science,2019

3. BP neural network prediction model for suicide attempt among Chinese rural residents [J];Lyu;Journal of Affective Disorders,2019

4. A Back Propagation neural network based optimizing model of space-based large mirror structure [J];Wang;Optik,2019

5. Study of Face Orientation Recognition Based on Neural Network [J];Li;International Journal of Pattern Recognition and Artificial Intelligence,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Demand Forecasting Using Time Series and ANN with Inventory Control to Reduce Bullwhip Effect on Home Appliances Electronics Distributors;Mobile Computing and Sustainable Informatics;2023

2. Bank intelligent auxiliary management system based on machine vision and facial recognition;2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA);2022-01-21

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3