Fusion for Multimodal Biometric Identification

详细信息    查看全文

• 作者：Yongjin Lee ; Kyunghee Lee ; Hyungkeun Jee ; Younhee Gil ; Wooyong Choi ; et al.
• 刊名：Lecture Notes in Computer Science
• 出版年：2005
• 出版时间：2005
• 年：2005
• 卷：3546
• 期：1
• 页码：p.1071
• 全文大小：379 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

In this paper, we investigate fusion methods for multimodal identification using several unimodal identification results. One fingerprint identification system and two face identification systems are used as fusion sources. We discuss rank level and score level fusion methods. Whereas the latter combines similarity scores, the other one combines the orders of the magnitudes of the similarity scores. For rank level methods, Borda Count and Bayes Fuse are considered and, for score level methods, Sum Rule and Binary Classification Approach are considered. Especially, we take a more detailed look at Binary Classification Approach, which simplifies a multiple class problem into a binary class problem. Finally, we compare experimental results using the fusion methods in different combinations of the sources.