现代信息科技2024，Vol.8Issue(14)：20-25,6.DOI:10.19850/j.cnki.2096-4706.2024.14.005
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
摘要
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分类
信息技术与安全科学引用本文复制引用
刘春晓,张文豪..基于OpenCV的人脸识别系统的设计与实现[J].现代信息科技,2024,8(14):20-25,6.基金项目
山东华宇工学院科技计划项目(2022KJ10) （2022KJ10）
