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Performance Evaluation of Finger Vein Verification Algorithms in PFVR2014

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Biometric Recognition (CCBR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8833))

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Abstract

This paper concerns about the performance evaluation of finger vein verification algorithms. A finger vein verification competition was held by the author of this paper in the 9th Chinese Conference on Biometrics Recognition. The competition itself is called PKU Finger Vein Recognition. This competition aims at studying the state-of-the-art performance of finger vein verification algorithms, mainly in China. This competition used a general recognition algorithm evaluation platform called RATE developed by the author. RATE provides systematic solutions for database management, benchmark generation, and equipped with a distributed computation system for algorithm evaluation. This paper will discuss RATE platform, the data sets and test protocols of the competition, and the analysis of the competition results.

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References

  1. Kono, M., Ueki, H., Umemura, S.: A new method for the identification of individuals by using vein pattern matching of a finger. In: Proceedings of the 5th Symposium on pattern Measurement, Yamaguchi, Japan, pp. 9–12.

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  4. Cappelli, R., Maio, D., Maltoni, D., Wayman, J.L., Jain, A.: Performance evaluation of fingerprint verification systems. IEEE Pattern Analysis and Machine Intelligence

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  5. FVC Ongoing, https://biolab.csr.unibo.it/fvcongoing/UI/Form/Home.aspx

  6. Competition on face recognition in mobile environment using the MOBIO database, https://www.beat-eu.org/evaluations/icb-2013-face-recognition-mobio

  7. The Facial Recognition Technology (FERET) Database, http://www.itl.nist.gov/iad/humanid/feret/feret_master.html

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© 2014 Springer International Publishing Switzerland

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Xian, R., Li, W. (2014). Performance Evaluation of Finger Vein Verification Algorithms in PFVR2014. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_27

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  • DOI: https://doi.org/10.1007/978-3-319-12484-1_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12483-4

  • Online ISBN: 978-3-319-12484-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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