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Computational Intelligence in Data Mining - Volume 3 pp 407–416Cite as

Contourlet Transform Based Feature Extraction Method for Finger Knuckle Recognition System

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 33))

Abstract

Hand based Biometric systems are considered to be more advantageous due to its high accuracy rate and rapidity in recognition. Finger knuckle Print (FKP) is defined as a set of inherent dermal patterns present in the outer surface of the Proximal Inter Phalangeal joint (PIP) of a person’s finger back region which serves as a distinctive biometric identifier. This paper contributes a Contourlet Transform based Feature Extraction Method (CTFEM) which initially decomposes the captured finger knuckle print image that results in low and high frequency contourlet coefficients with different scales and various angles are obtained. Secondly, the Principle Component Analysis (PCA) is further used to reduce the dimensionality of the obtained coefficients and finally matching is performed using Euclidean distance. Extensive experiments are carried out using PolyU FKP database and the obtained experimental results confirm that, the proposed CTFEM approach shows an high genuine acceptance rate of 98.72 %.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Pondicherry Engineering College, Pillachavady, Puducherry, 605014, India

    K. Usha

  2. Department of Information Technology, Pondicherry Engineering College, Pillachavady, Puducherry, 605014, India

    M. Ezhilarasan

Authors
  1. K. Usha
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  2. M. Ezhilarasan
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Corresponding author

Correspondence to K. Usha .

Editor information

Editors and Affiliations

  1. School of Electrical and Information Engineering, University of South Australia, South Australia, Australia

    Lakhmi C. Jain

  2. Computer Science and Engineering, Veer Surendra Sai University of Technolo, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Dept. of Computer Science and Eng., National Institute of Technology Rourkela, Rourkela, India

    Durga Prasad Mohapatra

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Usha, K., Ezhilarasan, M. (2015). Contourlet Transform Based Feature Extraction Method for Finger Knuckle Recognition System. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 3. Smart Innovation, Systems and Technologies, vol 33. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2202-6_37

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  • DOI: https://doi.org/10.1007/978-81-322-2202-6_37

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2201-9

  • Online ISBN: 978-81-322-2202-6

  • eBook Packages: EngineeringEngineering (R0)

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