July 13, 2022, 1:12 a.m. | Julian Fierrez-Aguilar, Luis-Miguel Muñoz-Serrano, Fernando Alonso-Fernandez, Javier Ortega-Garcia

cs.CV updates on arXiv.org arxiv.org

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.

arxiv cv effects image quality ridge

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Applied Data Scientist

@ dunnhumby | London

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV