A review of schemes for fingerprint image quality computation
Fernando Alonso-Fernandez, Julian Fierrez-Aguilar, Javier, Ortega-Garcia
TL;DR
This paper reviews various methods for computing fingerprint image quality, implements and compares several algorithms on a large dataset, and finds that most algorithms perform similarly in practice.
Contribution
It provides a comprehensive review and empirical comparison of fingerprint quality algorithms using a large, real-world dataset.
Findings
Most algorithms show similar performance.
Fingerprint quality impacts recognition system accuracy.
Empirical evaluation on 9000 images supports comparison.
Abstract
Fingerprint image quality affects heavily the performance of fingerprint recognition systems. This paper reviews existing approaches for fingerprint image quality computation. We also implement, test and compare a selection of them using the MCYT database including 9000 fingerprint images. Experimental results show that most of the algorithms behave similarly.
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Taxonomy
TopicsBiometric Identification and Security · Forensic Fingerprint Detection Methods · User Authentication and Security Systems
MethodsTest