Embedded Palmprint Recognition System on Mobile Devices

  • Yufei Han
  • Tieniu Tan
  • Zhenan Sun
  • Ying Hao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)


There are increasing requirements for mobile personal identification, e.g. to protect identity theft in wireless applications. Based on built-in cameras of mobile devices, palmprint images may be captured and analyzed for individual authentication. However, current available palmprint recognition methods are not suitable for real-time implementations due to the limited computational resources of handheld devices, such as PDA or mobile phones. To solve this problem, in this paper, we propose a sum-difference ordinal filter to extract discriminative features of palmprint using only +/- operations on image intensities. It takes less than 200 ms for our algorithm to verify the identity of a palmprint image on a HP iPAQ PDA, about 1/10 of state-of-the-art methods’ complexity, while this approach also achieves high accuracy on the PolyU palmprint database. Thanks to the efficient palmprint feature encoding scheme, we develop a real-time embedded palmprint recognition system, working on the HP PDA.


Mobile Device Limited Computational Resource Palmprint Image Feature Template Palmprint Recognition 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Yufei Han
    • 1
  • Tieniu Tan
    • 1
  • Zhenan Sun
    • 1
  • Ying Hao
    • 1
  1. 1.Center for Biometrics and Security Research, National Labrotory of Pattern Recognition,Institue of Automation, Chinese Acdamey of Sciences, P.O. Box 2728, Beijing, 100080P.R. China

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