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Fingerprint Feature Extraction with Artificial Neural Network and Image Processing Methods

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Advances in Soft and Hard Computing (ACS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 889))

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Abstract

Fingerprints are often claimed as the safest measurable human trait. As one can observe they are commonly used in many different solutions. Nowadays they are applied for instance in financial institutions where clients can confirm their identities with fingerprints. These biometrics are the kind of the password that no one can lost or forget. An approach to extract fingerprints features with artificial neural network and image processing algorithms is presented in this work. Soft computing methods are becoming more popular. It leads to their usage in the human recognition procedures. In the case of the algorithm presented in this paper, the results from neural network are confirmed by Crossing-Number (CN) algorithm. The two-step confirmation ensures more precise results than obtained with each of them separately. The final stage of the algorithm is minutiae extraction and marking them in the analyzed image.

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Acknowledgment

This work was supported by grant S/WI/3/2018 from Białystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.

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Authors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Maciej Szymkowski & Khalid Saeed

Authors
  1. Maciej Szymkowski
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  2. Khalid Saeed
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Corresponding author

Correspondence to Maciej Szymkowski .

Editor information

Editors and Affiliations

  1. West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Jerzy Pejaś

  2. West Pomeranian University of Technology in Szczecin , Szczecin, Poland

    Imed El Fray

  3. West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Tomasz Hyla

  4. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Szymkowski, M., Saeed, K. (2019). Fingerprint Feature Extraction with Artificial Neural Network and Image Processing Methods. In: Pejaś, J., El Fray, I., Hyla, T., Kacprzyk, J. (eds) Advances in Soft and Hard Computing. ACS 2018. Advances in Intelligent Systems and Computing, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-030-03314-9_8

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