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Fingerprint Identification with Combined Texture Features

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Innovations in Electronics and Communication Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 65))

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Abstract

The recognition using biometric fingerprint is low-cost and superior automated technique of verifying best match among two human fingerprints. In this paper, texture features are used for fingerprint matching. The matching methodology uses local scale and rotation invariant information. This paper proposes a novel method for fingerprint verification and identification by using combination of features of LBP, HOG and SIFT. The fingerprint image is first enhanced, segmented and rotated/scaled for different angles/values. The SVM and multi-SVM are used for verification and identification, respectively. The methodology is applied on database created by fingerprint sensor H520J00122 and also tested on FVC2004, FVC2002 database. The analysis points such as accuracy, time, TAR, FAR and FRR are measured. The proposed method also ensures the highest accuracy with moderate time of execution.

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Author information

Authors and Affiliations

  1. Department of Instrumentation Engineering, SGGSIE&T, Nanded, Maharashtra, India

    Namrata V. Jad & Satish T. Hamde

Authors
  1. Namrata V. Jad
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  2. Satish T. Hamde
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Corresponding author

Correspondence to Namrata V. Jad .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Telangana, India

    R. K. Singh

  3. Indian Institute of Technology Bombay, Mumbai, Maharashtra, India

    Girish Kumar

  4. Department of ECE, NIT Srinagar, Srinagar, Jammu and Kashmir, India

    G.M. Rather

  5. Department of ECE, Guru Nanak Institutions Technical Campus, Ibrahimpatnam, Telangana, India

    K. Santhi

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© 2019 Springer Nature Singapore Pte Ltd.

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Jad, N.V., Hamde, S.T. (2019). Fingerprint Identification with Combined Texture Features. In: Saini, H., Singh, R., Kumar, G., Rather, G., Santhi, K. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-13-3765-9_4

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  • DOI: https://doi.org/10.1007/978-981-13-3765-9_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3764-2

  • Online ISBN: 978-981-13-3765-9

  • eBook Packages: EngineeringEngineering (R0)

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