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Structural (Shape) Feature Extraction for Ear Biometric System

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Proceedings of the International Conference on Signal, Networks, Computing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 395))

Abstract

The Ear Biometrics is an emerging modern human identification system, which is a passive biometrics system where the recognition of an individual is done without the knowledge of the human subject. This kind of passive biometrics system can help the image analyst to extract useful information feature for public surveillance system. The proposed article extracts structure (shape) features such as Area, Perimeter, Eccentricity, Elongation, Compactness, Horizontal Height, Vertical Height, Major Axis, Minor Axis, Circularity and Rectangularity of the human ear to construct an effective ear biometrics system.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, 520 007, Andhra Pradesh, India

    P. Ramesh Kumar

  2. Department of Computer Science and Engineering, Alaggapa University, Karaikudi, India

    S. S. Dhenakaran

Authors
  1. P. Ramesh Kumar
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  2. S. S. Dhenakaran
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Corresponding author

Correspondence to P. Ramesh Kumar .

Editor information

Editors and Affiliations

  1. School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India

    Daya K. Lobiyal

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

    Durga Prasad Mohapatra

  3. Department of Computer Science, Liverpool Hope University Faculty of Science, Liverpool, United Kingdom

    Atulya Nagar

  4. Computer Science & Engineering, National Institute of Technology, Rourkela, Odisha, India

    Manmath N. Sahoo

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© 2017 Springer India

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Kumar, P.R., Dhenakaran, S.S. (2017). Structural (Shape) Feature Extraction for Ear Biometric System. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 395. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3592-7_16

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  • DOI: https://doi.org/10.1007/978-81-322-3592-7_16

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-3590-3

  • Online ISBN: 978-81-322-3592-7

  • eBook Packages: EngineeringEngineering (R0)

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