Application Research of Data Fusion Algorithm in Human Biometrics

摘要：

Aiming at the problem of multi-sensor data fusion with multiple characteristic indexes, we will combine the majority of voting theory and Fisher for data integration to increase the recognition rate. First, we get a number of Fisher discriminate function by Fisher, and then assort the result by the majority of voting theory to get the final classification of the identification of decision-making. This method is suitable for a number of features of target recognition, its calculation is very simple, and it is easy to implement.

关键词： multi-sensor data fusion Fisher discrimination face recognition iris recognition

作者: Zhongyu Xu Taizheng Xu Yuzhong Chao

作者单位: College of Computer Science and Engineering Changchun University of Technology Changchun China Shandong Rural Credit Cooperative Union Jinan China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 380-383

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）