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The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications pp 189–196Cite as

Fingerprint Recognition Based on Multi-Resolution Histogram of Gradient Descriptors

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 291))

Abstract

This paper proposes a method to extract the fingerprint feature by using multi-resolution Histogram of Oriented Gradient representation. In this work, fingerprint is first enhanced for better ridge appearance. Next, Histogram of Oriented Gradient (HOG) is applied to model ridge valley structure as the occurrence of gradient information into a histogram bin size to obtain the fingerprint descriptor. Specifically, Multi-resolution fingerprint representation with HOG descriptor is used to isolate and analyse the fingerprint ridge structures in different resolution for better recognition performance. Experimental analysis shows that the proposed method is feasible in both performance accuracy and computational time as compared to conventional methods.

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References

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Acknowledgments

This research was supported by Fundamental Research Grant Scheme (FRGS) funded by the Ministry of Education Malaysia.

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Authors and Affiliations

  1. Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Malacca, 75450, Melaka, Malaysia

    Munalih Ahmad Syarif, Thian Song Ong & Connie Tee

Authors
  1. Munalih Ahmad Syarif
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  2. Thian Song Ong
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  3. Connie Tee
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Corresponding author

Correspondence to Thian Song Ong .

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Editors and Affiliations

  1. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Harsa Amylia Mat Sakim

  2. School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal, Malaysia

    Mohd Tafir Mustaffa

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© 2014 Springer Science+Business Media Singapore

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Cite this paper

Syarif, M.A., Ong, T.S., Tee, C. (2014). Fingerprint Recognition Based on Multi-Resolution Histogram of Gradient Descriptors. In: Mat Sakim, H., Mustaffa, M. (eds) The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications. Lecture Notes in Electrical Engineering, vol 291. Springer, Singapore. https://doi.org/10.1007/978-981-4585-42-2_22

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  • DOI: https://doi.org/10.1007/978-981-4585-42-2_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4585-41-5

  • Online ISBN: 978-981-4585-42-2

  • eBook Packages: EngineeringEngineering (R0)

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