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Palmprint Recognition Based on Minutiae Quadruplets

  • A. Tirupathi RaoEmail author
  • N. Pattabhi Ramaiah
  • C. Krishna Mohan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)

Abstract

Palmprint recognition is a variant of fingerprint matching as both the systems share almost similar matching criteria and the minutiae feature extraction methods. However, there is a performance degradation with palmprint biometrics because of the failure of extracting genuine minutia points from the region of highly distorted ridge information with huge data. In this paper, we propose an efficient palmprint matching algorithm using nearest neighbor minutiae quadruplets. The representation of minutia points in the form of quadruplets improves the matching accuracy at nearest neighbors by discarding scope of the global matching on false minutia points. The proposed algorithm is evaluated on publicly available high resolution palmprint standard databases, namely, palmprint benchmark data sets (FVC ongoing) and Tsinghua palmprint database (THUPALMLAB). The experimental results demonstrate that the proposed palmprint matching algorithm achieves the state-of-the-art performance.

Keywords

Palmprint recognition k-Nearest neighbors Minutiae and quadruplets 

Notes

Acknowledgements

We are sincerely thankful to FVC and Tsinghua university for providing data sets for research. The first author is thankful to Technobrain India Pvt Limited, for providing support in his research.

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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  • A. Tirupathi Rao
    • 1
    Email author
  • N. Pattabhi Ramaiah
    • 1
  • C. Krishna Mohan
    • 1
  1. 1.Visual Learning and Intelligence Lab (VIGIL), Department of Computer Science and EngineeringIndian Institute of Technology HyderabadHyderabadIndia

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