基于模糊神经推理的人脸识别算法研究  

Research on Fuzzy Neural Inference Algorithm for Face Recognition

作　　者：桂荣[1] 沈荣鑫[1] 詹泳[1] 

机构地区：[1]华南师范大学计算机学院,广东广州510631

出　　处：《华南师范大学学报（自然科学版）》2012年第4期40-44,共5页Journal of South China Normal University(Natural Science Edition)

摘　　要：提出了一种基于模糊神经推理的人脸识别算法,并对该系统的性能进行了分析研究.文中特征提取模块采用了基于子图分割的奇异值分解算法,并在此基础上以ORL数据库为实验数据,研究了不同子图分割方式对模糊神经推理系统的性能影响,并验证了本文算法的有效性.A face recognition algorithm based on fuzzy neural inference system is proposed, and the performance of this system is further analyzed. Singular value decomposition based on sub -image division is used for feature ex- tracting. On this basis, the ＇ ORL＇ database is used as experiment data, and the effect of different sub - image di- vision on the system performance is investigated. Finally, the efficiency of the algorithm is verified.

关 键 词：人脸识别 模糊神经推理系统 模糊逻辑 神经网络 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]