Design and Implement of Face Recognition System Based on OpenCV
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.
face recognitionLBP algorithmdata acquisition and processingfeature extraction
国家科技期刊平台
NSTL
万方数据
