Multispectral Palmprint Recognition by Feature Level Fusion

  • Nan Luo
  • Zhenhua Guo
  • Gang Wu
  • Changjiang Song
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 128)


Palmprint is a reliable and accurate trait in the biometric family. To improve the accuracy of the existing palmprint systems, multispectral imaging is used for palmprint recognition. Although image level fusion and matching score level fusion were widely used for multispectral palmprint recognition, feature level fusion was paid less attention. This paper proposes a novel method for multispectral palmprint recognition by the feature level fusion technique. Experimental results on a large public multispectral database show that the proposed method could get better results than image level fusion, and it could get comparable results with matching score level fusion with less cost of storage.


Recognition Accuracy Equal Error Rate Level Fusion False Acceptance Rate False Rejection Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Nan Luo
    • 1
  • Zhenhua Guo
    • 2
  • Gang Wu
    • 1
  • Changjiang Song
    • 1
  1. 1.The Institute of Automation of Heilongjiang Academy of SciencesHarbinChina
  2. 2.Graduate SchoolTsinghua UniversityShenzhenChina

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