ONLINE FACE RECOGNITION ALGORITHM BASED ON FUZZY ART

摘要：

After the modification of the fuzzy ART neural network operations, An algorithm based on fuzzy ART neural network which can deal with online-learning and recognition of the known and unknown faces at the same time is designed and realized. The simulation experiment results show an online maximum recognition rate is 86.3％ and offline recognition rates are nearly 100％ when the proper network parameters are selected. 400 images of 40 persons in the publicly available AT&T face database are used for simulation experiment.

关键词： Neural Network Fuzzy ART Face Recognition Algorithm Online Training

作者: MING GU JING-ZHOU ZHOU JIAN-ZHONG LI

作者单位: Dept.of Software Engineering, ShenZhen Polytechnic, ShenZhen 518055, China Workstation of Software E Dept.of Information Engineering Institute, Shenzhen University, ShenZhen 518O6O.China School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 556-560

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）