摘要
人脸识别是一项极具发展潜力的生物特征识别技术,在公共安全,信息安全等领域具有广阔的应用前景。本文试验基于ORL人脸数据和Yale人脸数据,在监督的保持邻域嵌入算法(NPE),度量优化的保持邻域嵌入算法(MONPE)均取最优参数的前提下对分类准确率和运行时间进行了比较。试验表明:MONPE算法与NPE算法相比,在实际应用中可以表现出明显的优势。
Face recognition is a biometric technology with great developable potential,it is believed having a great deal of potential applications in public security and information security.The study of face recognition technology has both important theory significance and tremendous application values.
出处
《科技创新导报》
2012年第26期1-2,共2页
Science and Technology Innovation Herald
关键词
人脸识别
监督的保持邻域嵌入
度量优化的保持领域嵌入
face recognition,supervised neighborhood preserving embedding,metric-optimized neighborhood preserving embedding
