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A Study of Friction Ridge Distortion Effect on Automated Fingerprint Identification System – Database Evaluation

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Computer Information Systems and Industrial Management (CISIM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11127))

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Abstract

Fingerprint identification is an important part of forensic science (e.g. criminal investigations or identity verification). Friction ridge impressions left at the crime scene can be affected by the nonlinear distortion due to elasticity of the skin, pressure changes or finger movement during deposition. These deformations affect relative distances between fingerprint features such as minutiae point, ridge frequency and orientation, which eventually leads to difficulties in establishing a positive match between impressions of the same finger.

In this study we present preliminary results of the impact of fingerprint friction ridge distortion on NBIS Bozorth3 fingerprint matching algorithm. For this purpose special fingerprint database was developed. The database contained 5175 prints obtained from 40 volunteers. Experimental results reveal that the some types of fingerprint distortion (especially movement to right and left) impacts the recognition performance. The results of our studies can be used in future work on statistical friction ridge analysis and fingerprint algorithms robust to distortions.

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Authors and Affiliations

  1. University of Bielsko-Biala, 2 Willowa Street, 43-309, Bielsko-Biala, Poland

    Łukasz Hamera & Łukasz Więcław

Authors
  1. Łukasz Hamera
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  2. Łukasz Więcław
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Correspondence to Łukasz Więcław .

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Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. Warsaw University of Technology, Warsaw, Poland

    Władysław Homenda

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Hamera, Ł., Więcław, Ł. (2018). A Study of Friction Ridge Distortion Effect on Automated Fingerprint Identification System – Database Evaluation. In: Saeed, K., Homenda, W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science(), vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-99954-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99953-1

  • Online ISBN: 978-3-319-99954-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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