摘要
人脸识别算法主要强调发挥信息技术优势,快速完成对象面部特征的计算和辨识,评估其合法性,在门禁、企业管理等活动中应用广泛,加以分析有助于其进一步运用和发展。该文首先对人脸识别算法原理和优势进行分析,在此基础上介绍该技术分类与技术应用流程,包括数据收集、输入和加工、数据库建立、实时降维分析、辅助机制建设等,并就技术发展进行展望,以推动人脸识别算法的运用和持续优化。
The face recognition algorithm mainly emphasizes on giving full play to the advantages of information technology to quickly complete the calculation and identification of the facial features of objects and evaluate their legitimacy,and is widely used in activities such as access control and enterprise management,and the analysis of it helps its further application and development.This article first analyzes the principles and advantages of the face recognition algorithm,then introduces the classification of the technology and its application processes,including data collection,input and processing,database establishment,real-time dimension reduction analysis and auxiliary mechanism construction,and prospects technical development,so as to promote the application and continuous optimization of the face recognition algorithm.
作者
刘舒天
LIU Shutian(Changchun Finance College,Changchun,Jilin Province,130000 China)
出处
《科技资讯》
2023年第19期17-20,共4页
Science & Technology Information
基金
2023年度长春金融高等专科学校科研项目“基于稀疏矩阵局部保留投影算法与人脸识别的结合与应用研究”(项目编号:2023JZ012)。
关键词
人脸识别算法
数据收集
降维分析
辅助机制
Face recognition algorithm
Data collection
Dimension reduction analysis
Auxiliary mechanism