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

Autor:	Fierrez-Aguilar, Julian, Muñoz-Serrano, Luis-Miguel, Alonso-Fernandez, Fernando, Ortega-Garcia, Javier
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: Published at IEEE International Carnahan Conference on Security Technology (ICCST)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2207.05447 Zobrazit plný text záznamu View this record from Arxiv