A Two-Level Matching Scheme for Speedy and Accurate Palmprint Identification

详细信息    查看全文

• 作者：Fang Li ; Maylor K. H. Leung ; Xiaozhou Yu
• 关键词：line ; curve ; palmprint ; Hough space ; Hausdorff distance
• 刊名：Lecture Notes in Computer Science
• 出版年：2007
• 出版时间：2007
• 年：2007
• 卷：4352
• 期：1
• 页码：323-332
• 全文大小：361 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

Although palmprint based authentication approaches have shown promising results recently, efforts are still required to achieve higher performance with low time complexity for their use in real-life high security applications. Based on these requirements, the concept of two level matching scheme using line matching in Hough space and Curve segment Hausdorff Distance (CsHD) are explored and developed for speedy and accurate palmprint identification in this paper. This method combines the advantages of both local and global feature approaches, which is able to not only absorb the variance of palmprints by transforming the palmprint pattern into a new domain, but also overcome the problem of high computation complexity when the database size increases. The system employs low-resolution palmprint images captured by normal digital camera and achieves higher identification accuracy with lower time complexity.