Facial recognition techniques using SVM: A comparative analysis

José Augusto Cadena Moreano, Nora Bertha La Serna Palomino, Alex Christian Llano Casa
{"title":"Facial recognition techniques using SVM: A comparative analysis","authors":"José Augusto Cadena Moreano, Nora Bertha La Serna Palomino, Alex Christian Llano Casa","doi":"10.29019/enfoque.v10n3.493","DOIUrl":null,"url":null,"abstract":"This paper presents a literary review of facial recognition in 2D, which plays an important role in the life of the human being in terms of safety, work activity, etc. The focus is on the results obtained by some researchers with the application of feature extraction techniques, pattern classifiers, databases and their respective percentage of efficiency obtained. The objective is to determine efficient techniques that allow an optimal 2D facial recognition process, based on the quality of databases, feature extractors and pattern classifiers.","PeriodicalId":72918,"journal":{"name":"Enfoque UTE : revista cientifica","volume":"86 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Enfoque UTE : revista cientifica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29019/enfoque.v10n3.493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

This paper presents a literary review of facial recognition in 2D, which plays an important role in the life of the human being in terms of safety, work activity, etc. The focus is on the results obtained by some researchers with the application of feature extraction techniques, pattern classifiers, databases and their respective percentage of efficiency obtained. The objective is to determine efficient techniques that allow an optimal 2D facial recognition process, based on the quality of databases, feature extractors and pattern classifiers.
基于支持向量机的人脸识别技术的比较分析
二维人脸识别技术在人类生活安全、工作活动等方面发挥着重要作用,本文对二维人脸识别技术的研究进展进行了综述。重点介绍了一些研究人员应用特征提取技术、模式分类器、数据库所获得的结果以及它们各自的效率百分比。目标是根据数据库、特征提取器和模式分类器的质量,确定允许最佳2D面部识别过程的有效技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信