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International Conference on Cloud Computing and Security

ICCCS 2016: Cloud Computing and Security pp 371–382Cite as

Palmprint Matching by Minutiae and Ridge Distance

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

Abstract

Palmprint is an essential biometrics for personal identification, especially in forensic security. Due to the large valid region of palmprint, palmprint recognition is very time-consuming. Fast and accurate palmprint recognition is an urge problem. To speed up matching, some methods based on classification and indexing are proposed, in which accuracy may be dropped. Ridge distance is often used as an auxiliary feature in palmprint recognition. In this paper, a novel minutiae matching algorithm incorporating ridge distance is proposed. Firstly, we incorporate ridge distance to conventional minutiae. Then, with the restriction of ridge distance, palmprint alignment could be greatly sped up. Experimental results show that our method could not only reduce time cost for matching, but also improve matching accuracy.

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Author information

Authors and Affiliations

  1. Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, China

    Jiali Chen & Zhenhua Guo

Authors
  1. Jiali Chen
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  2. Zhenhua Guo
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Corresponding author

Correspondence to Zhenhua Guo .

Editor information

Editors and Affiliations

  1. University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Michigan State University , EAST LANSING, Michigan, USA

    Alex Liu

  3. National Dong Hwa University , Shoufeng, Taiwan

    Han-Chieh Chao

  4. Purdue University , West Lafayette, Indiana, USA

    Elisa Bertino

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© 2016 Springer International Publishing AG

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Cite this paper

Chen, J., Guo, Z. (2016). Palmprint Matching by Minutiae and Ridge Distance. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-48674-1_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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