基于OpenCV的人脸识别系统的设计与实现
Design and Implement of Face Recognition System Based on OpenCV
刘春晓 1张文豪1
作者信息
- 1. 山东华宇工学院,山东 德州 253034
- 折叠
摘要
通过研究设计实现了一种基于OpenCV的人脸识别系统,采用LBP(Local Phase Quantization)算法进行特征提取,并通过实验验证获得了较好的识别准确率和鲁棒性.研究人员通过OpenCV库收集和处理人脸图像数据,并使用LBP算法将面部特征转换为数字表示.通过对已知的人脸数据与提取的特征进行比对和匹配,该系统能够准确识别和验证个体身份.实验结果表明,在各种环境条件下,该系统展现了较好的准确率和鲁棒性,具备良好的实时性能和广阔的应用前景,为人脸识别技术的商业化和普及化提供了有益探索.
Abstract
This paper designs and implements a face recognition system based on OpenCV through research.The LBP(Local Phase Quantization)algorithm is used for feature extraction,and the recognition accuracy and robustness are verified by experiments.The researchers collect and process face image data through the OpenCV library and use the LBP algorithm to convert facial features into digital representations.By comparing and matching the known face data with the extracted features,the system can accurately identify and verify the identity of individuals.Experimental results show that the system shows good accuracy and robustness under various environmental conditions,has good real-time performance and broad application prospects,and provides a useful exploration for the commercialization and popularization of face recognition technology.
关键词
人脸识别/LBP算法/数据采集和处理/特征提取Key words
face recognition/LBP algorithm/data acquisition and processing/feature extraction引用本文复制引用
基金项目
山东华宇工学院科技计划项目(2022KJ10)
出版年
2024
国家科技期刊平台
NSTL
万方数据