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Fingerprint Verification Based on Combining Minutiae Extraction and Statistical Features

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Encyclopedia of Computer Graphics and Games

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Synonyms

Fingerprint image; Fingerprint ridge thinning; Fingerprint verification; Minutiae extraction; Singular point; Statistical features

Definition

One of the most popular forms of biometrics used for personal identification is fingerprints. The extraction of multi-features illustrates the diversity of data represented from fingerprint samples, allowing mitigation of the intrapersonal variable. This study uses multiple feature extraction based on statistical tests of co-occurrence matrices to overcome the drawbacks of previous methods and minutiae extraction to achieve high accuracy toward an efficient fingerprint verification system.

Introduction

The most important type of human biometrics is fingerprints. Fingerprints have been used for personal recognition in forensic applications, such as criminal investigation tools, national identity card validation, and authentication processors. The uniqueness and immutability of fingerprint patterns as well as the low cost of associated...

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Author information

Authors and Affiliations

  1. University of Babylon, Babylon, Iraq

    Anwar Yahya Ebrahim

  2. Department of Computer Science, Liverpool John Moores University, Liverpool, UK

    Hoshang Kolivand

Authors
  1. Anwar Yahya Ebrahim
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  2. Hoshang Kolivand
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Corresponding author

Correspondence to Anwar Yahya Ebrahim .

Editor information

Editors and Affiliations

  1. Inst. for Ed., Research, a. Scholarships, Los Angeles, CA, USA

    Newton Lee

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Ebrahim, A.Y., Kolivand, H. (2019). Fingerprint Verification Based on Combining Minutiae Extraction and Statistical Features. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_362-1

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  • DOI: https://doi.org/10.1007/978-3-319-08234-9_362-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08234-9

  • Online ISBN: 978-3-319-08234-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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