Fusing Multi-Biometrics Authorization with PCA

摘要：

The recognition based on Fusing Multi-Biometrics is a hot point in authentications. A new method fusing multi-biometric features base on PCA is proposed in this paper. At first, the features are extracted from the voice, face images and online handwritings of one person. Then, three features are fused by the means of PCA method. Finally, the authorization is implemented through classification by minimizing the Euclidean distance of different people. The dataset we built includes the voice, face image and online handwritings of 20 volunteers. Our method performs much better on this dataset when the EER (Equal Error Rate) is 1 ％.

关键词： multi-biometrics voice authorization face recognition online handwriting PCA

作者: Luan Fang-jun Lin Lan

作者单位: Information & Control Engineering Faculty ofShen Yang Jianzhu University,Shenyang, China State Key Lab of Robotics, SIA, Chinese Academy of Sciences Graduate School of the Chinese Academy o

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 754-758

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）