English

On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition

Computer Vision and Pattern Recognition 2022-07-13 v1 Image and Video Processing

Abstract

The effect of image quality degradation on the verification performance of automatic fingerprint recognition is investigated. We study the performance of two fingerprint matchers based on minutiae and ridge information under varying fingerprint image quality. The ridge-based system is found to be more robust to image quality degradation than the minutiae-based system for a number of different image quality criteria.

Keywords

Cite

@article{arxiv.2207.05447,
  title  = {On the Effects of Image Quality Degradation on Minutiae- and Ridge-Based Automatic Fingerprint Recognition},
  author = {Julian Fierrez-Aguilar and Luis-Miguel Muñoz-Serrano and Fernando Alonso-Fernandez and Javier Ortega-Garcia},
  journal= {arXiv preprint arXiv:2207.05447},
  year   = {2022}
}

Comments

Published at IEEE International Carnahan Conference on Security Technology (ICCST)