摘要
通过对现有人脸识别方法的分析,提出了基于离散小波变换和离散余弦变换相结合的图像特征提取算法,和基于显式分解策略的SVM分类器的设计方法。设计了一套基于人脸识别的门禁系统,给出了硬件结构和软件工作流程。经现场测试,该系统运行稳定,对人脸图像的识别率较高,能满足实际应用的各种要求。
Through the analysis of existing face recognition method,the image feature extraction algorithm base on discrete wavelet transform and discrete cosine transform combined was proposed,and the design method of SVM classifier base on explicit decomposition strategy was given.An entrance guard system based on face recognition was designed.The hardware structure and software workflow was given.The system ran stably though field testing.The recognition rate of face image was higher.The system can meet the various requirements of practical application.
出处
《河北省科学院学报》
CAS
2012年第1期28-30,36,共4页
Journal of The Hebei Academy of Sciences
基金
河北省科学技术研究与发展计划项目(11213592)
关键词
门禁系统
人脸识别
小波变换
支持向量机
Entrance guard system
Face recognition
Wavelet transform
Support vector machines
