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Multimodal Personal Authentication System Fusing Palmprint and Knuckleprint

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Emerging Intelligent Computing Technology and Applications (ICIC 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 375))

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Abstract

This paper proposes a multimodal personal authentication system which makes use of palm and knuckleprint traits. Biometric images are enhanced and robust corner features are tracked using Lukas and Kanade tracking. Matching score between feature vectors of two images is obtained through a similarity measure which makes use of geometrical and statistical characteristics. The proposed system is tested on chimeric multimodal databases created by fusing two publicly available palmprint databases CASIA and PolyU along with PolyU knuckleprint database. Experimental results reveal correct recognition rate of 100% with EER less than 0.1%.

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References

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Aditya Nigam & Phalguni Gupta

Authors
  1. Aditya Nigam
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  2. Phalguni Gupta
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    De-Shuang Huang

  2. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, 208 016, Kanpur, India

    Phalguni Gupta

  3. Tsinghua University, Bei**g, China

    Ling Wang

  4. Department of Biotechnology, Indian Institute of Technology Madras, 600 036, Chennai, Tamilnadu, India

    Michael Gromiha

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Nigam, A., Gupta, P. (2013). Multimodal Personal Authentication System Fusing Palmprint and Knuckleprint. In: Huang, DS., Gupta, P., Wang, L., Gromiha, M. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2013. Communications in Computer and Information Science, vol 375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39678-6_32

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  • DOI: https://doi.org/10.1007/978-3-642-39678-6_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39677-9

  • Online ISBN: 978-3-642-39678-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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