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An Empirical Study on Fingerprint Image Enhancement Using Filtering Techniques and Minutiae Extraction

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Proceedings of 2nd International Conference on Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 467))

Abstract

The uniqueness of fingerprint provides a secured personal identification mark. Contact less acquisition of fingerprints is gaining popularity due to the ease in capturing the image. They can be easily blurred with noise and distortion. This paper defines filtering techniques in removal of noise and distortion from the blurred images. The paper highlights double enhancing method for image clarity and extraction of true minutiae points which are tabulated and analyzed.

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References

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Author information

Authors and Affiliations

  1. Madras Christian College, East Tambaram, Chennai, 600059, India

    J. Shiny Priyadarshini

  2. Presidency College, Chennai, 600005, India

    D. Gladis

Authors
  1. J. Shiny Priyadarshini
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  2. D. Gladis
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Corresponding author

Correspondence to J. Shiny Priyadarshini .

Editor information

Editors and Affiliations

  1. KCG College of Technology, Dept. of Electrical and Electronics Engg KCG College of Technology, Karapakkam, Chennai, Tamil Nadu, India

    P. Deiva Sundari

  2. Dept Electrical & Electronics Engg, SRM University, Chennai, Tamil Nadu, India

    Subhransu Sekhar Dash

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  4. Dept. of Electrical & Electronics Engg., Indian Institute of Technology Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

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© 2017 Springer Science+Business Media Singapore

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Priyadarshini, J.S., Gladis, D. (2017). An Empirical Study on Fingerprint Image Enhancement Using Filtering Techniques and Minutiae Extraction. In: Deiva Sundari, P., Dash, S., Das, S., Panigrahi, B. (eds) Proceedings of 2nd International Conference on Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 467. Springer, Singapore. https://doi.org/10.1007/978-981-10-1645-5_20

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  • DOI: https://doi.org/10.1007/978-981-10-1645-5_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1644-8

  • Online ISBN: 978-981-10-1645-5

  • eBook Packages: EngineeringEngineering (R0)

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