Palmprint Authentication Using Time Series

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• 作者：Jian-Sheng Chen ; Yiu-Sang Moon ; Hoi-Wo Yeung
• 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.376
• 全文大小：475 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

Automated personal authentication using biometric features is getting more and more popular for solving the security problems. A new branch of biometric technology, palmprint authentication, has attracted increasing amount of attention because palmprints are abundant of line features and thus low resolution images can be used. In this paper, we propose a new approach for palmprint feature extraction, template representation and matching. Using of time series technologies such as SAX representation and MINDIST calculation is the key to make this new approach simple, flexible and reliable. Experiment shows that this approach can achieve an accuracy of 98.7% when performing one to one verification on a 600 palmprints database. This new approach, which is very computationally efficient, also facilitates the biometric feature fusion as well as palmprint identification using incomplete templates.