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

  • Łukasz Hamera
  • Łukasz WięcławEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11127)


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.


Fingerprint Friction ridge Deformation Distortion Database AFIS NBIS Biometrics 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.University of Bielsko-BialaBielsko-BialaPoland

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