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A Systematic Analysis of Fingerprint Matching Techniques for Fingerprint Recognition System

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 385))

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Abstract

The recognition of fingerprints is the widely adaptable and recognizable biometric system for the identification of individuals. The fingerprint authentication system pertains the high-end security than the other recognition systems (such as face unlocking, numerical or alphabetic passwords) available in smart gadgets. The convenience to use and maximal security features are the grounds to consider it as a reliable identification system. The efforts of researchers to improve the fingerprint recognition systems continue to overcome the limitations related to the recognition of overlap** fingerprints, latent fingerprints, and detection of fake fingerprints. The identification of criminal suspects on the basis of latent fingerprints captured during the crime scenes is one among the trending requirement which demands the intense accuracy to avoid the case of false recognition. The current research paper presents the systematic analysis of the fingerprint matching techniques. The analysis is conducted for the latest and quality contributions of the researchers in terms of the evaluation of efficient techniques, popular datasets, and challenging issues.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Baba Mastnath University, Asthal Bohar, Sector-29, Rohtak, Haryana, India

    Mahesh Kumar & Devender Kumar

Authors
  1. Mahesh Kumar
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  2. Devender Kumar
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Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. Jawaharlal Nehru Technological University, Hyderabad, India

    A. Govardhan

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Kumar, M., Kumar, D. (2022). A Systematic Analysis of Fingerprint Matching Techniques for Fingerprint Recognition System. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 385. Springer, Singapore. https://doi.org/10.1007/978-981-16-8987-1_10

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